Journal articles on the topic 'Mobile self-tracking application'
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Mathur, Sankalp, H. Karthikeyan, and Aditya Pratap Singh. "Mobile Fitness Application." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1481–85. http://dx.doi.org/10.22214/ijraset.2022.47403.
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Abstract: Online technologies that enable self-tracking as well as exercise are fitness apps. Certain app features, such as normalized step objectives, indicate controlling circumstances that might influence controlled vs. autonomous motivation and, therefore, encourage regular exercise. This research sought to determine how using a fitness app for self-tracking and setting a normalized step goal affected several elements of desire and regular exercise. Fitness applications have taken over the country with the launch of the mobile Web and have significantly changed how individuals behave while exercising. One can install a tonne of fitness applications from the web. Applications present in the current app stores does not have to many features like water-in-take or calories burnt, step counter all in one. Either the application has only one of two feature .With just a few applications having all the required features but are very costly and accessible to the majority of the people.
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Chrisdianti, Galuh Octavia, Putu Wuri Handayani, Fatimah Azzahro, and Satrio Baskoro Yudhoatmojo. "Users’ Intention to Use Mobile Health Applications for Personal Health Tracking." Jurnal Sistem Informasi 19, no. 1 (April 5, 2023): 1–12. http://dx.doi.org/10.21609/jsi.v19i1.1196.
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This study aimed to analyze factors influencing the intention to use mobile health applications for personal health tracking (PHT). The respondents were 516 individuals who had used a PHT application, such as Samsung Health, iOS Health, or MiFit. Data processing was done via using partial least squares–structural equation modeling (PLS-SEM). This study uncovered factors that can affect intention to use PHT applications, including perceived usefulness, social influence, facilitating conditions, hedonic motivation, habits, performance risk, and self-health awareness. It was found that perceived ease of use and self-reported health condition do not affect the intention to use PHT applications. This study can provide guidance on PHT application service providers for ensuring data accuracy, increasing user satisfaction when using the applications, and preventing privacy violation.
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Wan Mohamed, Wan Ainul Alyani, Muhammad Aqil Firas Zakey, and Noor Suhana Sulaiman. "COVID-19 Patient Under Investigation Self-Monitoring Mobile Application: Development and Implementation." Journal of Physics: Conference Series 2319, no. 1 (August 1, 2022): 012028. http://dx.doi.org/10.1088/1742-6596/2319/1/012028.
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Abstract This research aims to develop a mobile application for Covid-19’s Patient Under Investigation (PUI) Self-Monitoring (PUISM). The intended audience for this project is PUI cases, specifically (Covid-19) cases. The application was developed for PUI self-health monitoring in order to keep doctors, nurses, and administrators updated about their health status. As a method, the ADDIE model was used in this project. The ADDIE model was employed in this project as an approach. Five phases comprise the ADDIE method: Analysis, Design, Development, Implementation, And Evaluation. During the design phase, the developer will produce a prototype of mobile applications for PUI that will achieve the patient’s goals and patient requirements. The developer can then create mobile applications that follow the prototype’s design. During the implementation phase, the developer will publish the mobile application. The developer will then collect feedback, analyze the effectiveness of the mobile application for PUI, and determine whether the application is entirely functional or not. Finally, our endeavour benefits all frontlines by supporting them in tracking PUI that meet the criteria for Covid-19 occurrences. Additionally, this treatment reduces the transmission of infection Covid-19 to lessen the burden on the health care system and improve home self-monitoring.
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Kondakov, Victor L., and Aleksandr S. Sheplyakov. "Analysis of mobile applications to increase the level of physical activity of students." Tambov University Review. Series: Humanities, no. 2 (2022): 443–50. http://dx.doi.org/10.20310/1810-0201-2022-27-2-443-450.
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The development of mobile applications in the field of education and wellness has been developing rapidly in recent years. Almost every student actively uses their gadgets in their educa-tional and daily activities. Due to the fact that modern youth has a sedentary lifestyle, the use of mobile applications for self-study is an effective means of increasing the physical activity of stu-dents. An analysis of modern mobile applications for tracking the motor activity of students, and criteria for choosing a quality application are presented.
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Celiku, Orieta, Kristin Odom, Mahendar Ramidi, and Terri Armstrong. "INNV-41. MY STORI – A SYMPTOM TRACKING AND REPORTING INSTRUMENT MOBILE APPLICATION FOR BRAIN TUMOR PATIENTS." Neuro-Oncology 23, Supplement_6 (November 2, 2021): vi114. http://dx.doi.org/10.1093/neuonc/noab196.451.
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Abstract INTRODUCTION Managing symptom burden is an integral part of brain tumor patient care, but tools to facilitate tracking symptoms and self-management for this population are lacking. Reporting is often limited to self-report as part of clinical follow-up care, or episodic between visits if symptoms are severe. While general-purpose and cancer-specific mobile applications that track medical symptoms are becoming more prevalent, they may not cover the entire range of symptoms experienced by patients with brain tumors or allow tracking of self-management strategies. METHODS We developed an iOS operating system mobile application using Apple’s UIKit, Foundation, WebKit, and Core Graphics frameworks. Core Data and iCloud were used to implement local and cloud-based data storage for personal use. Findings from our Outcomes Surveys informed selection of core symptoms to track. A multidisciplinary team of neuro-oncology scientists, providers, and communication specialists developed self-care content from evidence-based sources. RESULTS We developed My STORI, a free mobile application to capture the experiences of brain tumor patients. Patients and their family members can track daily symptoms and their impact on function and record any actions that were taken to mitigate them. Evidence-based self-care information on how to recognize, manage, and report symptoms is provided. Graphical summaries of how these symptoms evolve over time, and how they are impacted by clinical appointments, treatment, and self-care activities can be displayed and compiled into reports that can be shared with their care team, family, or health care record. CONCLUSIONS Mobile applications have the potential to promote self-care, facilitate symptom management, and enable intuitive, frequent, and convenient reporting of clinically relevant data to the health-care team. The My STORI application is an innovation in patient care guided by evidence-based research and can be used to track symptom management, promote self-care, and enhance communication to improve clinical care and research.
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Souissi, Rihab, Salwa Sahnoun, Mohamed Khalil Baazaoui, Robert Fromm, Ahmed Fakhfakh, and Faouzi Derbel. "A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol." Sensors 24, no. 3 (January 25, 2024): 802. http://dx.doi.org/10.3390/s24030802.
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Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application. In this paper, a novel algorithm introduces a self-localization algorithm for mobile targets using the wake-up media access control (MAC) protocol. The developed tracking application is based on the trilateration technique with received signal strength indication (RSSI) measurements. Simulations are implemented in the OMNeT++ discrete event simulator using the C++ programming language, and the RSSI values introduced are based on real indoor measurements. In addition, a determination approach for finding the optimal parameters of RSSI is assigned to implement for the simulation parameters. Simulation results show a significant reduction in power consumption and exceptional accuracy, with an average error of 1.91 m in 90% of cases. This method allows the optimization of overall energy consumption, which consumes only 2.69% during the localization of 100 different positions.
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Hübner, P., M. Weinmann, M. Hillemann, B. Jutzi, and S. Wursthorn. "COMBINING INDEPENDENT VISUALIZATION AND TRACKING SYSTEMS FOR AUGMENTED REALITY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 455–62. http://dx.doi.org/10.5194/isprs-archives-xlii-2-455-2018.
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The basic requirement for the successful deployment of a mobile augmented reality application is a reliable tracking system with high accuracy. Recently, a helmet-based inside-out tracking system which meets this demand has been proposed for self-localization in buildings. To realize an augmented reality application based on this tracking system, a display has to be added for visualization purposes. Therefore, the relative pose of this visualization platform with respect to the helmet has to be tracked. In the case of hand-held visualization platforms like smartphones or tablets, this can be achieved by means of image-based tracking methods like marker-based or model-based tracking. In this paper, we present two marker-based methods for tracking the relative pose between the helmet-based tracking system and a tablet-based visualization system. Both methods were implemented and comparatively evaluated in terms of tracking accuracy. Our results show that mobile inside-out tracking systems without integrated displays can easily be supplemented with a hand-held tablet as visualization device for augmented reality purposes.
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Karnowski, Veronika, and Doreen Reifegerste. "More than counting steps: Identifying types of self-tracking usage among German young adults." Studies in Communication and Media 12, no. 1 (2023): 92–113. http://dx.doi.org/10.5771/2192-4007-2023-1-92.
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Self-tracking technologies have been regarded both very optimistic and very critical. However, these conclusions are often based on single application studies and lack empirical evidence on actual self-tracking usage. We set out to identify types of self-tracking usage based on users’ mobile media ensembles and their varying levels of engagement with the technology. Using latent class analysis, we empirically identified three types of self-tracking usage based on an online survey of a representative sample of N = 367 German self-trackers aged 18 to 30. Results indicate interactive intensive self-trackers spend more time physically active per week than feedback-oriented basic self-trackers and purist step counters. In addition, the injunctive norm-setting perception of algorithmic feedback is significantly higher for feedback-oriented basic self-trackers and interactive intensive self-trackers than purist step counters. Future research should be aware of these differences in young adults’ engagement with self-tracking of physical activity and integrate them into empirical research, especially when aiming to assess the effects of self-tracking.
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Festic, Noemi, Michael Latzer, and Svetlana Smirnova. "Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies." Media and Communication 9, no. 4 (November 18, 2021): 145–57. http://dx.doi.org/10.17645/mac.v9i4.4162.
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Self-tracking with wearable devices and mobile applications is a popular practice that relies on automated data collection and algorithm-driven analytics. Initially designed as a tool for personal use, a variety of public and corporate actors such as commercial organizations and insurance companies now make use of self-tracking data. Associated social risks such as privacy violations or measurement inaccuracies have been theoretically derived, although empirical evidence remains sparse. This article conceptualizes self-tracking as algorithmic-selection applications and empirically examines users’ risk awareness related to self-tracking applications as well as coping strategies as an option to deal with these risks. It draws on representative survey data collected in Switzerland. The results reveal that Swiss self-trackers’ awareness of risks related to the applications they use is generally low and only a small number of those who self-track apply coping strategies. We further find only a weak association between risk awareness and the application of coping strategies. This points to a cost-benefit calculation when deciding how to respond to perceived risks, a behavior explained as a privacy calculus in extant literature. The widespread willingness to pass on personal data to insurance companies despite associated risks provides further evidence for this interpretation. The conclusions—made even more pertinent by the potential of wearables’ track-and-trace systems and state-level health provision—raise questions about technical safeguarding, data and health literacies, and governance mechanisms that might be necessary considering the further popularization of self-tracking for health.
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Gomolin, Arieh, Bertrand Lebouché, Kim Engler, and Isabelle Vedel. "Optimizing smartphone intervention features to improve chronic disease management: A rapid review." Health Informatics Journal 26, no. 3 (December 12, 2019): 1795–809. http://dx.doi.org/10.1177/1460458219891377.
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While there are an increasing number of mobile health applications to facilitate self-management in patients with chronic disease, little is known about which application features are responsible for impact. The objective was to uncover application features associated with increased usability or improved patient outcomes. A rapid review was conducted in MEDLINE for recent studies on smartphone applications. Eligible studies examined applications for adult chronic disease populations, with self-management content, and assessed specific features. The features studied and their impacts on usability and patient outcomes were extracted. From 3661 records, 19 studies were eligible. Numerous application features related to interface (e.g. reduced number of screens, limited manual data entry) and content (e.g. simplicity, self-tracking features) were linked to improved usability. Only three studies examined patient outcomes. Specific features were shown to have a higher impact. Implementing them can improve chronic disease management and reduce app development efforts.
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Medeiros, Marcos, Ahmet Ozturk, Murat Hancer, Jeffrey Weinland, and Bendegul Okumus. "Understanding travel tracking mobile application usage: An integration of self determination theory and UTAUT2." Tourism Management Perspectives 42 (April 2022): 100949. http://dx.doi.org/10.1016/j.tmp.2022.100949.
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Milidonis, Mary, and Carolyn Menges. "ARE PAIN APPS USABLE? MHEALTH LITERACY FRAMEWORK." Innovation in Aging 6, Supplement_1 (November 1, 2022): 593. http://dx.doi.org/10.1093/geroni/igac059.2219.
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Abstract Older adults are at risk for low health literacy and not adhering to self-care. Health professionals are shifting their practices to emphasize wellbeing through health promotion. Mobile pain applications may be a tool to improve health communication and individualize care. Mobile health apps do not always consider the needs of the older adult who may be less comfortable and confident with technology. The purpose of this qualitative review is to explore mobile pain applications for adults with a health literacy framework, and identify facilitators and barriers to usability. Databases that reviewed apps included Google, Google Scholar, ScienceDirect, PubMed, CINAHL plus full text, APTA EBP database, MEDline, and SportDiscus. Fifty-three apps found. Excluded criteria: if there was a cost, targeted for children, and without pain diary. Six apps identified to be specifically relevant to pain intensity, location quality, and impact on life. Mobile Application Rating System (MARS) tool assessed engagement, functionality, aesthetics, information quality, and subjective quality. All apps were engaging, allowed for tracking symptoms and life impact over time. Some apps were difficult to navigate, did not offer education support. Two of the apps individualized pain. Two apps are on only accessible on one app platform. One app allowed for feedback about the app design. Pain mobile health applications can improve tracking, managing and understanding pain for improved mobility and social engagement for older adults. The use of health literacy frameworks with mobile health applications may increase accessibility to care.
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Laskova, A. I., M. Yu Frolov, Yu A. Orlova, and Yu M. Lopatin. "Self-care as the Basis of the Mobile Application for Patients with Chronic Coronary Syndromes." Rational Pharmacotherapy in Cardiology 18, no. 3 (July 6, 2022): 268–73. http://dx.doi.org/10.20996/1819-6446-2022-06-06.
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Aim. To evaluate the impact of a mobile application usage on the self-care skills, quality of life, adherence to treatment, as well as the psychological characteristics of comorbid patients with stable coronary heart disease.Material and methods. The study will include patients over 18 years of age with an established diagnosis of ischemic heart disease, exertional angina pectoris I-IV CCS functional class, who have the technical ability to use the mobile application "B2Doc: Angina" on their smartphone. This mobile application contains main components of recommendations for the management of coronary heart disease and monitoring of patient’s well-being. The program is based on the previously developed and validated questionnaire of the self-care ability of patients with coronary artery disease. The mobile application includes advice of the day, tracking the dynamics of angina pectoris symptoms, blood pressure and pulse, a medication diary as well as educational material about coronary heart disease. The study will assess quality of life: general (SF-36) and angina-related (Seattle Angina Questionnaire), self-care skills using the Self-Care of Coronary Heart Disease Inventory questionnaire. The primary endpoints will be cardiovascular events (cardiovascular death, acute myocardial infarction, acute cerebrovascular accident, hospitalization with unstable angina or decompensated chronic heart failure) and death from all causes. Endpoints will be evaluated in 1, 3, 6 and 12 months after discharge.Expected results. We expect that the use of the mobile application "B2Doc: Angina" by patients will improve their self-care skills and quality of life, as well as increase awareness of the disease.Conclusions. The use of the newly developed mobile application "B2Doc: Angina" is a potential tool for the prevention and treatment of coronary heart disease. It represents a promising solution for the rapid implementation and expansion of telemedicine practice.
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Kastania, Anastasia N., and Anastasius Moumtzoglou. "Quality Implications of the Medical Applications for 4G Mobile Phones." International Journal of Reliable and Quality E-Healthcare 1, no. 1 (January 2012): 58–67. http://dx.doi.org/10.4018/ijrqeh.2012010106.
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Existing medical applications for 4G mobile phones include Mobile MIM, MobiUS, Gyromaniac, and FaceTime. Mobile MIM (http://www.mimsoftware.com) allows viewing MRI, PET and CT using iPhones and iPads. MRI, PET, and CT images are broadcasted using software that allows measurement of both the intensity and the distance an image is transferred. MobiUS (MobiSante Inc, 2011) commercial ultrasound imaging system, used in emergencies, is smartphone-based, and cheaper than traditional ultrasound systems which allow sharing images with patients or clinicians. The Gyromaniac application (Subversus Interactive, 2011) uses the iPhone 4 new gyroscope feature to help physicians practice spatial orientation. Moreover, physicians can use iPhone 4's FaceTime (Apple Inc, 2011) video conferencing feature for patient care while other applications include a blood pressure monitor that displays the current pressure reading, simultaneously tracking previous results. The applications reshape the nature and expectations of health care delivery and emphasize active involvement of patients and enable digital proximity and self-care, thus challenging the traditional paternal model of medicine.
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Isa, Rafidah, Mohammad Fauzan Nordin, Roslina Othman, and Hazwani Mohd Mohadis. "Infectious Disease-Related Applications." International Journal on Perceptive and Cognitive Computing 9, no. 2 (July 28, 2023): 39–47. http://dx.doi.org/10.31436/ijpcc.v9i2.402.
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This study aims to identify and analyse the existing mobile applications for infectious diseases currently available for stakeholders in two major application stores: Google Play Store and Apps Store. The Google Play and Apps Store were searched between 15th June 2022 and 21st June 2022. The keywords used to search related applications on the infectious disease were “infectious disease,” “dengue,” “ebola,” “h1n1”, “influenza,” “Japanese encephalitis,” “MERSCOV,” “SARS,” “tuberculosis,” and “Covid-19”. The selection of the applications is based on the predefined inclusion criteria. Initially, two hundred eighty-three applications were identified, and 262 met the inclusion criteria. A total of 125 applications were sampled. The codes and themes were extracted from the description available in the application store. Information was recorded in Microsoft Excel. Finally, the existing application and its purpose were summarized and presented with descriptive statistics. The study discovered that the application was first released in 2011 for general infectious and significantly increased in 2020. Most applications were developed for multiple functions, mainly for general information, close contact notifications, self-reporting cases, and symptom tracking. This study provides an overview of infectious disease applications currently available regarding their purpose and the trend of the application released. It significantly contributes to mobile application research by providing the developers with an informed decision while designing infectious-related disease applications to suit the stakeholders' needs.
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Safian, Abbas, Shirmohammad Davoodvand, Morteza Sedehi, Shahram Tahmasebian, and Nahid Jivad. "The effect of a mobile-based self-care program on tremor of people with multiple sclerosis." Journal of Multidisciplinary Care 11, no. 3 (September 30, 2022): 118–23. http://dx.doi.org/10.34172/jmdc.2022.1177.
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Background and aims: Multiple sclerosis (MS) is one of the most common progressive neurological diseases in young people. Tremor is a common and debilitating symptom in people with MS, significantly affecting their quality of life. This study aimed to evaluate the effect of a self-care program based on a mobile application on tremors in people with MS. Methods: This semi-experimental study was conducted on 72 patients with MS in Chaharmahal and Bakhtiari province in 2019. Samples were selected by convenience sampling and randomly assigned to intervention and control groups (36 people in each group). For the intervention group, a self-care program in the form of a mobile application was installed on their mobile phones and, for two months, used by patients. The use of the program was measured using self-report checklists and telephone tracking. The control group receives routine intervention only. Data were collected before and two months after the intervention using the Fahn-Tolosa-Marin Tremor Rating Scale and analyzed using SPSS software version 21 and descriptive and inferential statistics (chi-square, independent t test, and paired t test). Results: There was no statistically significant difference between the two groups in the mean tremor score before the intervention (P=0.768). However, after the intervention, this difference was significant (P=0.022). Conclusion: According to the findings, teaching a self-care program through a mobile application effectively improves the tremor of patients with MS and can be considered an effective intervention method.
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Grądzik, Anna, Anna Gorajek, Aleksandra Osiejewska, Dominika Wojtachnio, Izabela Nowakowska, and Jakub Bartoszewicz. "The popularity and usability of mobile applications for women and expecting mothers." Journal of Education, Health and Sport 12, no. 8 (August 10, 2022): 378–82. http://dx.doi.org/10.12775/jehs.2022.12.08.039.
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Introduction and purpose: There are many applications for women, including those planning to conceive, being pregnant or having a small child. These applications have various functions, among others: menstrual cycle control, information about fetal development, labor contractions counting or lifestyle advice. Aim of the study was to assess the popularity, usability, most frequently used functions and expectations of users in relation to mobile applications designed for period tracking, for pregnant women and for parents.
Material and methods: The study was conducted in the form of a self-prepared, anonymous survey shared on social media.
Results: 522 correctly completed questionnaires were analysed. The main sources of knowledge about pregnancy and motherhood were: Internet (90.4%) and doctor (73.5%). 78.7% of participating women used period tracking applications. The most useful functions were: date of period (94.7%), fertile days and ovulation (86.4%) and menstrual cycle regularity (58,2%). 86.6% of women used pregnancy tracker applications. The most useful features were: information about week of pregnancy (98.5%), child development (95.3%) and countdown to childbirth (83%). Using application during pregnancy: 74.8% of women felt more aware and 68.6% enjoyed the expectation time more. Parenting applications were the least popular - only 25% of respondents used them.
Conclusions: Thanks to the mobile applications, women can be more aware and better prepared for planning pregnancy and motherhood. Encouraging them to use the applications can bring many benefits in a doctor-patient relationships, provided that the information contained therein is properly constructed.
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Miao, Amanda, Doreen Khakshour, Emine Cosar, Brian Hsia, Kai Zheng, Savneet Kaur, Anjani K. Singh, et al. "Conducting Patient and Clinician Participatory Design Sessions to Create a User-Centered Mobile Application for Adults with Asthma." Current Journal of Applied Science and Technology 42, no. 46 (December 2, 2023): 50–59. http://dx.doi.org/10.9734/cjast/2023/v42i464294.
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Objective: ASTHMAXcel is a patient-facing mobile health self-management application associated with improvements in asthma knowledge and clinical outcomes. The goal of this study was to gain feedback from adult patients and primary care clinicians regarding the ASTHMAXcel mobile app for asthma patients. Materials and Methods: We conducted two participatory design sessions; one with underserved adult patients and one with outpatient primary care clinicians. Participant attitudes were assessed regarding current asthma care gaps, the usefulness of asthma apps, and desired features of an app. Thematic maps were used to qualitatively analyze the data and structured using affinity diagrams. Results: Nine patients (67% F, mean age 48.0) and seven clinicians (71% F, mean age 54.6) participated in the study. Qualitative analyses of both groups suggested the improvement in education of patients with asthma, self-tracking, peer support, and motivational content. All participants acknowledged that patients miss signs of asthma exacerbations and lack the knowledge for appropriate self-management. Both patients and clinicians recommended adding specific educational content including medication side effects and breathing exercises. They sought the ability to track symptoms, medications, and visits across hospital systems. Patients suggested social engagement as a way of reducing stigmatization related to asthma. Conclusion: Participatory design sessions enabled subject feedback to guide the refinement of ASTHMAXcel and facilitated the development of ASTHMAXcel PRO, an updated app encompassing many of the discussed features. Main updates include self-tracking patient-reported outcomes (PROs), tailored medication reminders, and a user leaderboard to encourage the collection of PROs.
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Ehlers, Diane K., and Jennifer L. Huberty. "Middle-Aged Women’s Preferred Theory-Based Features in Mobile Physical Activity Applications." Journal of Physical Activity and Health 11, no. 7 (September 2014): 1379–85. http://dx.doi.org/10.1123/jpah.2012-0435.
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Background:The purpose of this study was to describe which theory-based behavioral and technological features middle-aged women prefer to be included in a mobile application designed to help them adopt and maintain regular physical activity (PA).Methods:Women aged 30 to 64 years (N = 120) completed an online survey measuring their demographics and mobile PA application preferences. The survey was developed upon behavioral principles of Social Cognitive Theory, recent mobile app research, and technology adoption principles of the Unified Theory of Acceptance and Use of Technology. Frequencies were calculated and content analyses conducted to identify which features women most preferred.Results:Behavioral features that help women self-regulate their PA (PA tracking, goal-setting, progress monitoring) were most preferred. Technological features that enhance perceived effort expectancy and playfulness were most preferred. Many women reported the desire to interact and compete with others through the application.Conclusions:Theory-based PA self-regulation features and theory-based design features that improve perceived effort expectancy and playfulness may be most beneficial in a mobile PA application for middleaged women. Opportunities to interact with other people and the employment of social, game-like activities may also be attractive. Interdisciplinary engagement of experts in PA behavior change, technology adoption, and software development is needed.
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Erdeniz, Seda Polat, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig, and Thi Ngoc Trang Tran. "Recommender systems for IoT enabled quantified-self applications." Evolving Systems 11, no. 2 (October 30, 2019): 291–304. http://dx.doi.org/10.1007/s12530-019-09302-8.
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Abstract As an emerging trend in big data science, applications based on the Quantified-Self (QS) engage individuals in the self-tracking of any kind of biological, physical, behavioral, or environmental information as individuals or groups. There are new needs and opportunities for recommender systems to develop new models/approaches to support QS application users. Recommender systems can help to more easily identify relevant artifacts for users and thus improve user experiences. Currently recommender systems are widely and effectively used in the e-commerce domain (e.g., online music services, online bookstores). Next-generation QS applications could include more recommender tools for assisting the users of QS systems based on their personal self-tracking data streams from wearable electronics, biosensors, mobile phones, genomic data, and cloud-based services. In this paper, we propose three new recommendation approaches for QS applications: Virtual Coach, Virtual Nurse, and Virtual Sleep Regulator which help QS users to improve their health conditions. Virtual Coach works like a real fitness coach to recommend personalized work-out plans whereas Virtual Nurse considers the medical history and health targets of a user to recommend a suitable physical activity plan. Virtual Sleep Regulator is specifically designed for insomnia (a kind of sleep disorder) patients to improve their sleep quality with the help of recommended physical activity and sleep plans. We explain how these proposed recommender technologies can be applied on the basis of the collected QS data to create qualitative recommendations for user needs. We present example recommendation results of Virtual Sleep Regulator on the basis of the dataset from a real world QS application.
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Corbett, John P., Himika Rahman, Anthony Peters, Margaret Eastham, and Rupa Valdez. "Self-Management Tasks of Adult Patients with Phenylketonuria: Needs Assessment for a Food Tracking Application." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 787–91. http://dx.doi.org/10.1177/1071181319631448.
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Phenylketonuria (PKU) is a lifelong condition resulting from impaired metabolism of the amino acid phenylalanine (Phe). To avoid neurological damage, patients must adhere to a low-Phe diet that severely limits natural foods. Due to the complicated nature of the diet, this study aimed to identify the self-management tasks performed by adults with PKU and assess the need for a technological solution to aid diet maintenance. Participants were recruited via Facebook for semi-structured interviews conducted remotely with two investigators. Eligible individuals were adults 18 years or older diagnosed with PKU. The eight interviewees consisted of two males and six females between the ages of 23 to 40 years located in the US, UK, and Canada. Interviews were transcribed and coded for common themes under the categories of illness-related, articulation, everyday life, biographical, sentimental, and technology work. General interview themes demonstrated a desire for the development of PKU specific mobile health applications.
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Lovreković, Tajana, Tina Maljur, and Kristina Matasić. "Koliko su srednjoškolci stvarno na mobitelu? - spolne razlike u uporabi mobitela i percepcija vremena provedenog na mobitelu kod srednjoškolaca." Život i škola 68, no. 1-2 (December 30, 2022): 53–72. http://dx.doi.org/10.32903/zs.68.1-2.4.
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The number of hours spent using mobile phones has been increasing over the years and is especially visible in younger generations. Interestingly, the body of research on this emerging topic is mainly based on self-assessment measures of screen time. There are few studies on mobile phones in Croatia. Therefore the aim of this study was to examine how many hours Croatian high school students spend on mobile phones and see if there is a discrepancy in self-estimates of high-school students’ screen time compared to the objective measure obtained through an application for screen time tracking. Moreover, gender differences in screen time were analysed, as well as differences between different levels of students’ academic achievement. This study included 156 high-school pupils aged 14 to 18. They were asked to fill out a questionnaire about their smartphone usage habits and attitudes, while their smartphone usage was tracked for one week using the Screen Time application. The analysis was done based on data collected from 130 participants. Most of the students reported that they spend 2 to 4 hours a day using their smartphones, while their actual screen time is, on average, 5 hours and 29 minutes per day. 64.6% of the students underestimated the time spent on their smartphones. Moreover, most of the students believe that it is recommended to spend 1-2 hours a day using a smartphone, while addiction is formed when a phone is used for 2-4 hours a day. There were no significant differences in screen time between students with different school achievements, as well as between male and female students. However, when gender differences were examined for different categories of mobile phone applications, the results showed that female students spent more time on social media applications while male students spent more time using multimedia applications.
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Offringa, Reid, Tong Sheng, Linda Parks, Mark Clements, David Kerr, and Michael S. Greenfield. "Digital Diabetes Management Application Improves Glycemic Outcomes in People With Type 1 and Type 2 Diabetes." Journal of Diabetes Science and Technology 12, no. 3 (December 25, 2017): 701–8. http://dx.doi.org/10.1177/1932296817747291.
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Background: Diabetes is a chronic condition that requires constant self-management. As a consequence, several software platforms have been developed to facilitate the tracking of diabetes data to improve diabetes management. Our aim was to determine the real-world glycemic benefits of a mobile diabetes management platform used by individuals with type 1 and type 2 diabetes. Methods: Mobile platform-using (n = 899) and control (n = 900) participants meeting specific minimum data criteria were randomly selected from a database of diabetes users. All results were modeled using different mixed effect generalized linear models, assigning random intercepts for each user, and adjusting the distribution assumption for each outcome. Results: Users of the mobile platform increased their frequency of blood glucose monitoring (+8.8 tests per month, 95% CI [3.4, 14.1], P < .001) and had fewer hyperglycemic events and lower average glucose levels compared to the control group. In addition, a mobile user could expect a 3.5% drop in average BG (−6.4 mg/dL, 95% CI [−2.0, −10.7], P < .001) and a 10.7% decrease in hyperglycemia ( P < .001) after 2 months. Conclusion: Users of the mobile platform tested their BG more often and demonstrated greater improvement in blood glucose compared to users who did not use the mobile platform. This supports previous studies indicating that digital technologies can enhance diabetes care in a real-world setting.
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Ben-Sasson, Ayelet, Kayla Jacobs, and Eli Ben-Sasson. "The feasibility of a crowd-based early developmental milestone tracking application." PLOS ONE 17, no. 5 (May 26, 2022): e0268548. http://dx.doi.org/10.1371/journal.pone.0268548.
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Objective Parents’ tracking of developmental milestones can assist healthcare providers with early detection of developmental delays and appropriate referrals to early intervention. Crowdsourcing is one way to update the content and age data distribution of developmental checklists for parents and providers. This feasibility study examined which developmental milestones parents chose to track and what they added beyond traditional milestones, using the babyTRACKS crowd-based mobile app. Method We analyzed the developmental diaries of 3,832 children, registered in the babyTRACKS app at an average age of 9.3 months. Their parents recorded a median of 5 milestones per diary, selecting from the accumulating lists of age-appropriate milestones or authoring new milestones. The final database included 645 types of milestones; 89.15% were developmental, of which 43.6% were comparable to the Centers for Disease Control (CDC) milestones while the rest were crowd-authored. Milestones were categorized into developmental domains: Gross Motor, Fine Motor, Oral Motor, Self-Care, Cognitive, Language Comprehension, Speech, Non-Verbal Communication, Social, Emotional, and Regulation. Results On average, the milestone domains of Gross Motor, Fine Motor, Cognitive and Social were the most added to diaries (20%-30% of a diary). Within the Cognitive, Speech and Language Comprehension domains there were significantly more CDC comparable versus crowd-authored milestones (29% versus 21%, 22% versus 10%, 8% versus 4%). In contrast, within the Regulation and Oral Motor domains there were more crowd versus CDC milestones (17% versus 3%, 9% versus 3%). Crowd-authored Speech milestones were significantly older by 7 months than CDC milestones. Conclusion Tracking daily observations of child development provides a window into personally relevant milestones for the child and parent. The crowd of parents can independently track and add new milestones across main developmental domains. Regulation and Oral Motor development especially interest parents. Parents may be less aware of early progress in Language Comprehension and Speech; thus, these domains require more structured screening. Designing mobile early screening which is crowd-based engages parents as proactive partners in developmental tracking.
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Yu, Sheng-Hsiang, Wei-Lun Lin, and Sheng-Wei Wang. "Brain Exercises Anywhere Anytime: A Self-Training System for Executive Function." Mobile Information Systems 2021 (February 12, 2021): 1–14. http://dx.doi.org/10.1155/2021/3617941.
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Smartphones are ideal for tracking individuals’ behavioral responses. Traditional laboratory-based psychological trials aimed at training cognitive functions face a problem when participants cannot finish their tasks within a scheduled time. In this paper, we developed a self-training system that helps people to enhance their cognitive functions through mental exercises. The system utilizes the advantages of mobile computing and Internet connection. Participants can finish their mental exercises no matter where they are and can send the results back to the data server. Administrators can track all participants’ status on a web-based system. This study investigates in situ the 20-session use of a mobile application. The results reveal that the users significantly enhanced their level of executive functions. The dropout rate was very small. This application, which uses a cloud data server, makes it more efficient and cost-effective in conducting psychological training programs. The proposed system provides a basic smartphone-based system for psychological trials and can be further improved by combining other techniques such as speech recognition and data-mining techniques.
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Rossel, Pedro O., Lorenzo Paredes, Antonio Bascur, Claudia Martínez-Carrasco, and Valeria Herskovic. "SAS4P: Providing automatic smoking detection for a persuasive smoking cessation application." International Journal of Distributed Sensor Networks 15, no. 11 (November 2019): 155014771988816. http://dx.doi.org/10.1177/1550147719888167.
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Smoking is the biggest avoidable health risk, causing millions of deaths per year worldwide. Persuasive applications are those designed to change a person’s behavior, usually in a specific way. Several mobile phone applications and messaging systems have been used to promote smoking cessation. However, most interventions use participants’ self-reports to track cigarette consumption and avoidance, which may not be accurate or objective. Previous proposals have used sensors to track hand movements and other contextual data to detect smoking or have used devices to detect smoke or breath carbon monoxide. This article proposes a low-cost wearable device that may be worn in a front shirt pocket or clipped to clothing to detect smoke and secondhand smoke. Furthermore, the device is integrated into a persuasive application to promote smoking cessation. The device was evaluated through an experiment to detect whether it may detect direct, passive, and no smoking conditions. The results are promising and may help improve tracking of cigarettes in persuasive applications.
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Russel, Christopher, Alexander Waworuntu, Darren Surya, Joseph Nathanael Zebua, and Ray Sandy. "Development of an android-based journaling and mood tracking mobile application for improving mental health using firebase application programming interface." International Journal of Scientific Reports 9, no. 4 (March 24, 2023): 107–12. http://dx.doi.org/10.18203/issn.2454-2156.intjscirep20230716.
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The mental health of an individual is a critical aspect of overall well-being and has a significant impact on daily life and relationships. Despite the increasing prevalence of mental health disorders, access to mental health care remains a challenge, especially in low and middle-income countries. The use of mobile apps has the potential to improve access to mental health care and promote self-awareness and well-being. The study aims to design a mental health application that incorporates journaling and mood tracking to promote mindfulness and encourage individuals to regularly reflect on their experiences and emotions. The application is built on the firebase platform and utilizes three key components: firebase storage, firestore database, and firebase authentication. The application also employs two native device features, camera and storage, for capturing profile pictures and cover images. The study provides a comprehensive solution for user management and the delivery of mental health support services.
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Lopez-Rodriguez, Francisco M., and Federico Cuesta. "An Android and Arduino Based Low-Cost Educational Robot with Applied Intelligent Control and Machine Learning." Applied Sciences 11, no. 1 (December 23, 2020): 48. http://dx.doi.org/10.3390/app11010048.
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Applied Science requires testbeds to carry out experiments and validate in practice the results of the application of the methods. This article presents a low-cost (35–40 euros) educational mobile robot, based on Android and Arduino, integrated with Robot Operating System (ROS), together with its application for learning and teaching in the domain of intelligent automatic control, computer vision and Machine Learning. Specifically, the practical application to visual path tracking integrated with a Fuzzy Collision Risk system, that avoids collision with obstacles ahead, is shown. Likewise, a Wi-Fi positioning system is presented, which allows identifying in which room the robot is located, based on self-collected data and Machine Learning.
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Surendran, Shilpa, Chang Siang Lim, Gerald Choon Huat Koh, Tong Wei Yew, E. Shyong Tai, and Pin Sym Foong. "Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study." International Journal of Environmental Research and Public Health 18, no. 12 (June 21, 2021): 6670. http://dx.doi.org/10.3390/ijerph18126670.
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The prevalence of gestational diabetes mellitus (GDM) is increasing, and only a few mobile health (mHealth) applications are specifically designed to manage GDM. In this mixed-methods study, a follow-up study of a randomized controlled trial (RCT) analyzed a largely automated mHealth application-based lifestyle coaching program to (a) measure the application’s usage behavior and (b) explore users’ perceptions of its usefulness in GDM management. Quantitative data were collected from the 170 application users who had participated in the intervention arm of the RCT. Semi-structured interviews (n = 14) captured users’ experiences when using the application. Data were collected from June 2019 to January 2020. Quantitative data were analyzed descriptively, and interviews were analyzed thematically. Only 57/170 users (34%) logged at least one meal, and only 35 meals on average were logged for eight weeks because of the incorrectly worded food items and limited food database. On the contrary, an average of 1.85 (SD = 1.60) weight values were logged per week since the weight tracking component was easy to use. Many users (6/14 (43%)) mentioned that the automatic coach messages created an immediate sense of self-awareness in food choices and motivated behavior. The findings suggest that for GDM management, a largely automated mHealth application has the potential to promote self-awareness of healthy lifestyle choices, reducing the need for intensive human resources. Additionally, several gaps in the application’s design were identified which need to be addressed in future works.
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Grau, Lauretta E., Kaitlyn Larkin, Chitra Lalloo, Jennifer N. Stinson, William T. Zempsky, Samuel A. Ball, and Frank D. Buono. "Perspectives on adapting a mobile application for pain self-management in neurofibromatosis type 1: results of online focus group discussions with individuals living with neurofibromatosis type 1 and pain management experts." BMJ Open 12, no. 7 (July 2022): e056692. http://dx.doi.org/10.1136/bmjopen-2021-056692.
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ObjectiveNeurofibromatosis type 1 (NF1) is a genetic disorder in which chronic pain commonly occurs. The study sought to understand the needs of individuals with NF1 and pain management experts when adapting a pain self-management mobile health application (app) for individuals with NF1.DesignWe conducted a series of online, audio-recorded focus groups that were then thematically analysed.SettingOnline focus groups with adults currently residing in the USA.ParticipantsTwo types of participants were included: individuals with NF1 (n=32 across six focus groups) and pain management experts (n=10 across three focus groups).ResultsSix themes across two levels were identified. The individual level included lifestyle, reasons for using the mobile app and concerns regarding its use. The app level included desired content, desired features and format considerations. Findings included recommendations to grant free access to the app and include a community support feature for individuals to relate and validate one another’s experience with pain from NF1. In addition, participants noted the importance of providing clear instructions on navigating the app, the use of an upbeat, hopeful tone and appropriate visuals.ConclusionsBoth participant groups endorsed the use of iCanCope (iCC) as an NF1 pain self-management mobile app. Differences between groups were noted, however. The NF1 group appeared interested in detailed and nuanced pain tracking capabilities; the expert group prioritised tracking information such as mood, nutrition and activity to identify potential associations with pain. In tailoring the existing iCC app for individuals with NF1, attention should be paid to creating a community support group feature and to tailoring content, features and format to potential users’ specific needs.
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Keymeulen, Didier, Masaya Iwata, Yasuo Kuniyoshi, and Tetsuya Higuchi. "Online Evolution for a Self-Adapting Robotic Navigation System Using Evolvable Hardware." Artificial Life 4, no. 4 (October 1998): 359–93. http://dx.doi.org/10.1162/106454698568648.
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Great interest has been shown in the application of the principles of artificial life to physically embedded systems such as mobile robots, computer networks, home devices able continuously and autonomously to adapt their behavior to changes of the environments. At the same time researchers have been working on the development of evolvable hardware, and new integrated circuits that are able to adapt their hardware autonomously and in real time in a changing environment. This article describes the navigation task for a real mobile robot and its implementation on evolvable hardware. The robot must track a colored ball, while avoiding obstacles in an environment that is unknown and dynamic. Although a model-free evolution method is not feasible for real-world applications due to the sheer number of possible interactions with the environment, we show that a model-based evolution can reduce these interactions by two orders of magnitude, even when some of the robot's sensors are blinded, thus allowing us to apply evolutionary processes online to obtain a self-adaptive tracking system in the real world, when the implementation is accelerated by the utilization of evolvable hardware.
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Qu, An Dong, and Zi Hong Zhang. "The Design of Charger Based on 1T SCM." Applied Mechanics and Materials 347-350 (August 2013): 1553–56. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1553.
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For the control characteristics of lithium batteries and nickel-metal hydride batteries, to design the hardware and software components of the PWM microcontroller battery charger, 2 battery charger can access, display temperature, automatic charging, sound and light alarm function. Voltage and current parameters self-tuning method to further improve the performance of adaptive charger, it can play a good dynamic response, fast charge and slow charge, the overshoot small, and has a the dynamic tracking quality and steady-state accuracy, and mobile phone lithium battery practical application, to obtain better control effects.
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MacDonald, James, Nicole Amoyal, Lauren Nisotel, Giselle Katiria Perez, Lara Traeger, Jennifer S. Temel, William F. Pirl, Steven A. Safren, and Joseph A. Greer. "Mobile application of cognitive behavioral therapy for anxiety and advanced cancer." Journal of Clinical Oncology 33, no. 29_suppl (October 10, 2015): 220. http://dx.doi.org/10.1200/jco.2015.33.29_suppl.220.
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220 Background: We previously demonstrated the efficacy of a brief, in-person cognitive behavioral therapy (CBT) program for alleviating anxiety in patients with advanced cancer. The aim of the current study was to adapt this program to an interactive, patient-centered mobile tablet application (CBT app) for self-delivery, ideally to enhance dissemination and patient access to the CBT intervention. Methods: Development of the CBT app proceeded in two phases. First, we enrolled five patients with advanced cancer and anxiety (HADS-Anxiety subscale score ≥ 8) to review a preliminary CBT app prototype and to provide qualitative feedback regarding intervention acceptability and utility. Using content analysis of the recorded data, we identified key themes in patient feedback and refined the CBT app content and design accordingly. Finally, a multidisciplinary team of clinical researchers (n=7) specializing in healthcare technology, psychiatry, and psychology conducted an extensive iterative review process to vet and finalize the CBT app intervention. Results: Patients reported that the CBT app content was comprehensible, easily navigated, and helpful in addressing a breadth of concerns relevant to patients with anxiety and advanced cancer. Specifically, patients reported that case examples, tailored feedback, accessible interactive features, and content summaries were important for engagement with the program. The multidisciplinary study team used patient feedback to adapt the CBT app prototype to a tablet design consisting of six modules that teach skills for practicing relaxation, staying present-focused, coping with fears related to cancer, and pacing activities. To enhance patient engagement, features also included homework assignments, symptom distress tracking, and tailored algorithms and branching logic based on patient responses. Conclusions: Patient interviews confirmed acceptability of the CBT app content. Expert clinician feedback also supported the tablet design for self-administration of the intervention to reduce patient burden. We are currently conducting a randomized controlled trial to assess the efficacy of the CBT app for improving anxiety symptoms in patients with advanced cancer. Clinical trial information: NCT02286466.
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Roslan, Muhammad Lukman, Nur Afiqah Rahma Nosruddin, and Hafizah Mansor. "Glucorio – Diabetes Management System." International Journal on Perceptive and Cognitive Computing 6, no. 2 (December 14, 2020): 124–28. http://dx.doi.org/10.31436/ijpcc.v6i2.171.
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Diabetes mellitus is a disease known as the “silent killer” disease that can lead to other chronic diseases. To prevent chronic diseases in diabetic patients, diabetes self-management plays an important role. Our mobile application, ‘Glucorio’ is designed as a tool to help patients in self-management of diabetes. Glucorio is a mobile phone-based diabetes logbook that can be connected to Accu-Chek Guide glucometer through wireless data transfer (Bluetooth) that automates the process of transferring and recording of data. Additionally, the users can also enter the data manually; data such as physical activity, food intake, eating habit tracking and many more. All the records are displayed in the form of charts and graphs to help both patients and doctors in understanding the data clearly through visualisation. The patients can therefore monitor their glucose levels, and this helps them to control their sugar intake. Thus, the patients can improve their health quality and avoid critical conditions in the future
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Muñoz-Leiva, Francisco, Francisco Liébana-Cabanillas, and Janet Hernández-Méndez. "Etourism advertising effectiveness: banner type and engagement as moderators." Journal of Services Marketing 32, no. 4 (July 9, 2018): 462–75. http://dx.doi.org/10.1108/jsm-01-2017-0039.
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Purpose This paper aims to analyze advertising effectiveness in terms of self-reported memory (recall) by measuring customers’ visual attention, including consumer engagement with e-tourism 2.0 tools and the banner type used as moderating variables. Design/methodology/approach Data were collected through a within-subject, between-groups experimental design based on eye-tracking methodology, followed by a self-administered questionnaire. Participants were instructed to visit three e-tourism tools, namely, a hotel’s blog, a social network (i.e. Facebook) page and a virtual community (i.e. TripAdvisor) page. Findings This research uncovers the main determinants of consumers’ self-reported recall of banner ads. The study offers empirical insight regarding the positive impact of fixation counts and visit duration on consumer recall. The findings also reveal that the impact of these measurements on consumer recall is moderated by the level of animation of the advertisement, while the number of fixations is moderated by the level of consumer engagement. Overall, the results suggest the usefulness of eye-tracking methodology in assessing the advertising effectiveness of e-tourism tools. Research limitations/implications The practical implications identified in this research, along with its limitations and future research opportunities, are of interest both for further theoretical development and practical applications. Scholars are therefore encouraged to further test the research propositions, including in longitudinal or mobile/smartphone-based research. Originality/value The authors offer a pioneering attempt in the application of eye-tracking methodology to online, e-tourism-based service innovations and examine the possible impact of visual marketing stimuli and their effects on user social network-related behavior.
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Han, Shuyu, Yaolin Pei, Lina Wang, Yan Hu, Xiang Qi, Rui Zhao, Lin Zhang, Wenxiu Sun, Zheng Zhu, and Bei Wu. "The Development of a Personalized Symptom Management Mobile Health Application for Persons Living with HIV in China." Journal of Personalized Medicine 11, no. 5 (April 25, 2021): 346. http://dx.doi.org/10.3390/jpm11050346.
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Persons living with HIV (PLWH) continuously experience symptom burdens. Their symptom prevalence and severity are also quite different. Mobile health (mHealth) applications (apps) offer exceptional opportunities for using personalized interventions when and where PLWH are needed. This study aimed to demonstrate the development process of the symptom management (SM) app and the structure and content of it. Our research team systematically searched for evidence-based resources and summarized up-to-date evidence for symptom management and health education. Our multidisciplinary research team that included physicians, nurses, software engineers, and nursing professors, evaluated the structure and content of the drafted app. Both quantitative data and qualitative results were collected at a group discussion meeting. Quantitative data were scores of sufficient evidence, situational suitability, practicability, cost-effectiveness, and understandability (ranged from one to four) for 119 items of the app contents, including the health tracking module, the self-assessment module, coping strategies for 18 symptoms (80 items), medication management, complementary therapy, diet management, exercise, relaxation techniques, and the obtaining support module. The SM app was comprised of eight modules and provided several personalized symptom management functions, including assessing symptoms and receiving different symptom management strategies, tracking health indicators, and communicating with medical staff. The SM app was a promising and flexible tool for HIV symptom management. It provided PLWH with personalized symptom management strategies and facilitated the case management for medical staff. Future studies are needed to further test the app’s usability among PLWH users and its effects on symptom management.
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LeBlanc, Matthew Roger, Thomas William LeBlanc, and Sophia Kustas Smith. "A prototype mobile application to improve communication about symptom management." Journal of Clinical Oncology 37, no. 31_suppl (November 1, 2019): 27. http://dx.doi.org/10.1200/jco.2019.37.31_suppl.27.
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27 Background: Cancer patients report many physical and emotional symptoms which can go unreported and underestimated resulting in unmet needs. Research suggests systematic collection of symptom data is associated with decreased emergency department use, increased quality of life, treatment toleration and overall survival. The multiple myeloma (MM) patient population is noted to have high symptom burden and represent an important target for intervention. This project aimed to develop a prototype app to facilitate MM patient/clinician communication about symptom management. Methods: 15 MM patients and 11 MM clinicians were interviewed to better understand patients’ symptom experience and management practices and preferences. Insights gained guided development of a prototype MM Coach mobile app. The think aloud protocol and cognitive interviewing were used to test usability and the prototype was iteratively refined. Results: Subjects highlighted a need for better symptom tracking over time, medication adherence tools, and real-time feedback to help patients self-manage symptoms. Our prototype app contains several modules designed to facilitate MM patient symptom management. 1) Track Symptoms; Using the Edmonton Symptom Assessment Scale patients track bothersome symptoms whenever they occur. 2) Track Medications; Patients can set up medication alerts and log medication use. 3) Track Mood; Patients record and track their distress level using the Distress Thermometer. 4) Relaxation Tools; This module contains a number of useful mind body activities such as guided imagery. 5) Get Support; Links to MM and non-MM related sources of support. 6) Prepare for Appointments; This module facilitates patients’ prioritizing issues to facilitate productive clinical encounters. 7) Insights; Patients and clinicians can review trends in symptom burden and medication adherence. 8) Learn; Educational content on topics relevant to MM symptoms such as pain, fatigue, depression. Conclusions: Our team is currently working with mobile app developers to build a version for the iOS AppStore and Android GooglePlay store. A pilot will be conducted to evaluate acceptability and feasibility in preparation for a clinical trial.
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McCool, Danielle, Peter Lugtig, Ole Mussmann, and Barry Schouten. "An App-Assisted Travel Survey in Official Statistics: Possibilities and Challenges." Journal of Official Statistics 37, no. 1 (March 1, 2021): 149–70. http://dx.doi.org/10.2478/jos-2021-0007.
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Abstract Advances in smartphone technology have allowed for individuals to have access to near-continuous location tracking at a very precise level. As the backbone of mobility research, the Travel Diary Study, has continued to offer decreasing response rates over the years, researchers are looking to these mobile devices to bridge the gap between self-report recall studies and a person’s underlying travel behavior. This article details an open-source application that collects real-time location data which respondents may then annotate to provide a detailed travel diary. Results of the field test involving 674 participants are discussed, including technical performance, data quality and response rate.
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Ishado, Emily, Sarah McKiddy, Soo Borson, and Tatiana Sadak. "MANAGING YOUR OWN WELLNESS: A PILOT INTERVENTION TO IMPROVE DEMENTIA CARE PARTNER SELF-CARE." Innovation in Aging 6, Supplement_1 (November 1, 2022): 21. http://dx.doi.org/10.1093/geroni/igac059.079.
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Abstract Engagement in regular self-care activities could mitigate and reduce the risk of negative health outcomes in dementia care partners (CP), yet many report that they do not prioritize wellness-related activities for themselves. We conducted a pilot of a virtual technology-supported intervention with 19 dementia CP to evaluate usability, feasibility, acceptability, and preliminary effectiveness of cultivating daily self-care habits and creating a wellness routine based on personalized self-care goals. Case studies and inductive thematic analyses suggested that the intervention could help CP meet their self-care activity goals, improve their sense of well-being and capacity to provide care. After establishing the initial feasibility and usability of the intervention and the online goal-setting and tracking platform, we collaborated with scientists specializing in Human-Centered Design and Engineering to develop a prototype of a mobile application that will optimize portability, utility, and support testing of this intervention.
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Álvarez, Roberto, Jordi Torres, Garazi Artola, Gorka Epelde, Sara Arranz, and Gerard Marrugat. "OBINTER: A Holistic Approach to Catalyse the Self-Management of Chronic Obesity." Sensors 20, no. 18 (September 6, 2020): 5060. http://dx.doi.org/10.3390/s20185060.
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Obesity is a preventable chronic condition that, in 2016, affected more than 1.9 billion people globally. Several factors have been identified that have a positive impact on long-term weight loss programs such as personalized recommendations, adherence strategies, weight and diet follow-up or physical activity tracking. Recently, various applications have been developed which help patients to self-manage their condition. These apps implement either one or some of these identified factors; however, there is not a single application that combines all of them following a holistic approach. In this context, we developed the OBINTER platform, which assists patients during the weight loss process by targeting user engagement during the longer term. The solution includes a mobile application which allows users to fill out dietetic questionnaires, receive dietetic and nutraceutical plans, track the evolution of their weight and adherence to the diet, as well as track their physical activity via a wearable device. Furthermore, an adherence strategy has been developed as a tool to foster the app usage during the whole weight loss process. In this paper, we present how the OBINTER approach gathers all of these features as well as the positive results of a usability testing study performed to assess the performance and usability of the OBINTER platform.
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Phillips, Shannon, Julie Kanter, Martina Mueller, Amy Gulledge, Kenneth Ruggiero, Mary Johnson, and Teresa J. Kelechi. "Feasibility of an mHealth self-management intervention for children and adolescents with sickle cell disease and their families." Translational Behavioral Medicine 11, no. 3 (January 7, 2021): 724–32. http://dx.doi.org/10.1093/tbm/ibaa132.
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Abstract Sickle cell disease (SCD) is an inherited hemoglobinopathy that leads to blood vessel occlusion and multiorgan complications, including pain, that may be experienced daily. Symptom management often begins at home, and tools are needed to support self-management strategies that can be implemented by children with SCD and families. The purpose of this study was to assess the feasibility of the mHealth self-management intervention (application) Voice Crisis Alert V2 for children with SCD and families. Feasibility assessment was guided by the Reach, Efficacy, Adoption, Implementation, and Maintenance framework. Data were collected with 60 dyads (children with SCD/caregivers) at four time points. Self-management data were collected via application use, and postintervention interviews were conducted. Analyses included descriptive statistics and constant comparison with directed content analysis. Recruitment was completed in 28 weeks, with 82% retention at end-of-intervention. Mobile Application Rating Scale scores and interview data indicated high satisfaction. From baseline to mid-intervention, 94% of dyads used the application (75% of total use); 45% used the application from mid-intervention to the end-of-intervention. Dyads made 2,384 actions in the application; the most commonly used features were recording health history and recording and tracking symptoms. Few reported issues with the application; most issues occurred early in the study and were corrected. After the intervention period was completed, 37% continued to use the application. Feasibility was confirmed by meeting recruitment and retention goals, high adoption of the application, and high reported satisfaction with the application. Challenges with sustained use were encountered, and areas for improvement were identified.
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Hannech, E., M. Yasmine, S. Miladi, A. Fazaa, H. Boussaa, K. Ouenniche, L. Souabni, et al. "POS1197-HPR HEALTH-RELATED MOBILE APPLICATIONS IN RHEUMATOID ARTHRITIS: WHAT ARE THE PATIENTS’ EXPECTATIONS?" Annals of the Rheumatic Diseases 82, Suppl 1 (May 30, 2023): 931.1–931. http://dx.doi.org/10.1136/annrheumdis-2023-eular.5770.
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BackgroundThe use of mobile phone applications for the management of rheumatic diseases (RD) has grown significantly these past few years [1]. Nevertheless, the success of these applications requires identifying the educational needs and interests of patients with RD.ObjectivesThe purpose of our study was to investigate the expectations of rheumatoid arthritis (RA) patients regarding mobile applications in managing their disease.MethodsWe conducted a cross-sectional survey in our rheumatology department including RA patients, fulfilling the ACR/EULAR 2010 criteria. They were invited to respond to a questionnaire related to the utility of a mobile application in managing their disease. We evaluated their point of view on the desired functions of a smartphone app, the required content as well as the preferred design.ResultsThe study included 40 RA patients: 36 females (90%) and 4 males (10%). The mean age was 52.25±14.4 years [21-78]. The mean disease duration was 11.97±6.69 years [1-29]. Two items were considered important and concerned the ability to contact the doctor when necessary and discuss their symptoms (72%), as well as the ability to check laboratory results (72%). Other features listed as useful were reminder date of clinic appointments (65%), and reminder of hours’ medication intake (60%). Nearly half of the patients expected the app to include educational videos (52%), exercise strategies to feel better (52%), ways to improve lifestyle habits (sports, sleep, professional activity, and dietary habits) (52%) and information about alternative treatments (55%). When asked about “what kind of health-related information should be tracked or monitored using a smartphone application?”, the most requested data to monitor concerned disease symptoms tracking (45%) using a validated measures of disease activity (43%), pain and fatigue (52%) using pain and general well-being questionnaires (41%) as well as arthritis-related functional scores (42%). Regarding the design, the application should be simple (68%), quick (63%), with clear font (44%). Moreover, it shouldn’t require too much battery power (42%), and include frequent recall notices (42%).ConclusionOur study showed that RA patients prioritized information about medications and monitoring their disease. Surprisingly, the availability of lab results was considered an important component of the app. Identifying these needs will be the first step to ensure the success of the mobile phone applications.Reference[1] Mollard E, Michaud K. Self-Management of Rheumatoid Arthritis: Mobile Applications. Curr Rheumatol Rep. 2020; 26;23(1):2.Acknowledgements:NIL.Disclosure of InterestsNone Declared.
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Guichon, Nicolas. "A self-tracking study of international students in France: Exploring opportunities for language and cultural learning." ReCALL 31, no. 3 (June 19, 2019): 276–92. http://dx.doi.org/10.1017/s0958344019000090.
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AbstractThis exploratory study focuses on international students’ usage of digital tools in order to understand what role such tools play in the transition to their new academic environments and what learning opportunities they provide. Not only do digital tools accompany international students’ social, cultural, and linguistic transitions as they move to France to further their language competence, but their usage also reveals part of the social and semiotic adjustments they have to make in the process. Sixteen international students who volunteered for the study were given a smartphone application with which they could track learning opportunities by taking pictures and writing textual commentaries. The data, collected over a period of five weeks, thus include the resulting entries these participants shared in their mobile multimodal diaries with the researchers, as well as an end-of-project debriefing that was conducted to shed further light on the international students’ digital habits and their attitudes towards self-tracking. This study indicates that digital tools can play an important and pervasive role in facilitating international students’ linguistic development and their dealings with everyday life abroad. It also confirms that self-tracking apps can be instrumental in enhancing students’ awareness of learning opportunities outside the classroom.
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Kuhnel, Matthias, Luisa Seiler, Andrea Honal, and Dirk Ifenthaler. "Mobile learning analytics in higher education: usability testing and evaluation of an app prototype." Interactive Technology and Smart Education 15, no. 4 (November 19, 2018): 332–47. http://dx.doi.org/10.1108/itse-04-2018-0024.
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Purpose The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of “Mobile Learning Analytics”, a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior, as well as personality traits. Last but not least, the paper will contribute to the topic of learning analytics and mobile learning in higher education. Design/methodology For the empirical investigation, a mixed-method design was chosen. While 105 participants took part in the conducted online survey, after testing the app prototype, seven students joined an additional eye tracking study. For the quantitative part, a selected question pool from HIMATT (highly integrated model assessment technology and tools) instrument was chosen. The eye tracking investigation consisted of three tasks the participants had to solve. Findings The findings showed that the students assessed the idea of the app, as well as the navigation positively. Only the color scheme of the prototype was not very attractive to a noticeable amount of the participants. So, it requires slight modifications concerning the app design. For the eye tracking study, it can be stated that the students viewed the relevant parts, and they basically had no difficulties to solve the tasks. Originality/value Due to the empirical testing of the app prototype, the project team was able to adjust the application and to add further features. Furthermore, the backend was programmed and an additional tool (MyLA dashboard) was developed for lecturers. A mutual understanding of the targets, privacy issue and relevant features are indispensable for further development of the project.
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Herbst, Ellen, Shannon E. McCaslin, Shahrzad Hassanbeigi Daryani, Kelsey T. Laird, Lindsey B. Hopkins, David Pennington, and Eric Kuhn. "A Qualitative Examination of Stay Quit Coach, A Mobile Application for Veteran Smokers With Posttraumatic Stress Disorder." Nicotine & Tobacco Research 22, no. 4 (April 5, 2019): 560–69. http://dx.doi.org/10.1093/ntr/ntz037.
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Abstract Introduction Smoking is a lethal public health problem that is common in US military veterans, particularly those with posttraumatic stress disorder (PTSD). Mobile applications (apps) to promote smoking cessation are a scalable and low-cost approach that may facilitate treatment engagement. Methods This qualitative study examined the acceptability, user experience, and perceptions of a smoking cessation app, Stay Quit Coach (SQC), when incorporated into evidence-based smoking cessation treatment. US military veterans with PTSD who smoked at least five cigarettes per day for 15 of the past 30 days and stated an interested in cessation were eligible to participate. Participants’ baseline comfort levels with mobile technology was measured using the Perceptions of Mobile Phone Interventions Questionnaire–Patient version (PMPIQ-P). At treatment end, semi-structured qualitative interviews were conducted. Results Twenty participants were enrolled and 17 (85.0%) participated in the qualitative interview at treatment end. PMPIQ-P scores at baseline ranged from 4.97 to 5.25 (SDs = 0.73–1.04), reflecting moderately high comfort with mobile technology among participants. Qualitative analyses indicated that most participants: (1) endorsed mobile technology as an appealing format for smoking cessation treatment, due to convenience and instantaneous access; and (2) expressed highest perceived helpfulness for interactive app features. Recommendations to improve SQC clustered into four thematic areas: (1) increasing personalization, (2) including more self-tracking features, (3) increasing visual cues, and (4) sharing progress with peers. Conclusions SQC was perceived as an acceptable and useful tool to support smoking cessation in a sample of veteran smokers with PTSD. Qualitative data provided valuable insights that can inform the continued development of SQC and other apps for smoking cessation. Implications Given the high lethality associated with cigarette smoking, it is crucial to identify scalable, low-risk strategies to promote smoking cessation, particularly in high-risk populations. Mobile technology is a promising approach that can be used to augment evidence-based smoking cessation treatment. Results of this qualitative study support the use of the SQC mobile app when incorporated into evidence-based smoking cessation treatment for veterans with PTSD and provide future directions for refinement of the SQC app. These findings also highlight the importance of using a patient-centered approach in designing apps intended for a clinical population.
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Nulty, Alison K., Elizabeth Chen, and Amanda L. Thompson. "The Ava bracelet for collection of fertility and pregnancy data in free-living conditions: An exploratory validity and acceptability study." DIGITAL HEALTH 8 (January 2022): 205520762210844. http://dx.doi.org/10.1177/20552076221084461.
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Objective To evaluate the validity and acceptability of the Ava bracelet for collecting heart rate, sleep, mood, and physical activity data among reproductive-aged women (pregnant and nonpregnant) under free-living conditions. Methods Thirty-three participants wore the Ava bracelet on their non-dominant wrist and reported mood and physical activity in the Ava mobile application for seven nights. Criterion validity was determined by comparing the Ava bracelet heart rate and sleep duration measures to criterion measures from the Polar chest strap and ActiGraph GTX3 + accelerometer. Construct validity was determined by comparing self-report measures and the heart rate variability ratio collected in the Ava mobile application to previously validated measures. Acceptability was evaluated using the modified Acceptability of Health Apps among Adolescents Scale. Results Mean absolute percentage error was 11.4% for heart rate and 8.5% for sleep duration. There was no meaningful difference between the Ava bracelet, ActiGraph, and construct a measure of sleep quality. Compared to construct measures, Ava bracelet heart rate variability had a significant low negative correlation ( r:−0.28), mood had a significant low positive correlation ( r : 0.39), and physical activity level had a significant low ( rlevel of physical activity: 0.56) to moderate positive correlation ( rMET−minutes/week: 0.71). The acceptability of the Ava bracelet was high for fertility and low for pregnancy tracking. Conclusion Preliminary evidence suggests the Ava bracelet and mobile application estimates of sleep and heart rate are not equivalent to criterion measures in free-living conditions. Further research is needed to establish its utility for collecting prospective, subjective data throughout periods of preconception and pregnancy.
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Jacobson, Amanda E., Sara K. Vesely, Myra Christian-Rancy, and Sarah H. O'Brien. "Mobile Application Vs. Paper Pictorial Blood Assessment Chart to Track Menses in Young Women: A Randomized Cross-over Design." Blood 128, no. 22 (December 2, 2016): 1006. http://dx.doi.org/10.1182/blood.v128.22.1006.1006.
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Abstract Background Heavy menstrual bleeding (HMB) is the most common symptom for women with bleeding disorders. Major barriers to performing research in this field are difficulties in quantifying and tracking changes in menstrual bleeding, particularly in adolescents. The Pictorial Blood Assessment Chart (PBAC) score is often used to quantify severity of menstrual bleeding1. However, the traditional paper diary PBAC score is fraught with recall bias and compliance issues in adolescents. Utilizing mobile applications (apps) has great potential for improving health by assisting with behavior modification and disease self-management. Additionally, mobile apps can serve as a valuable medical research tool by facilitating rapid reporting. Objectives We developed a mobile app version of the PBAC score to enable adolescents to report and quantify menstrual bleeding. We evaluated patient satisfaction and compliance with mobile app reporting as compared to paper reporting. We hypothesized that adolescents would be compliant with mobile app reporting and would prefer this method over paper reporting. Methods This study was a randomized cross-over study of 25 post-menarchal females ages 13-21 years seen in the Hematology Clinics at Nationwide Children's Hospital, Columbus, Ohio. Inclusion criteria included: history of regularly occurring menstrual cycle and possession of a mobile application capable device (smart phone) with continuous service expected. Non-English speaking patients and patients intending to start a hormonal agent that may fully suppress menstrual bleeding were excluded. Subjects agreed to track menstrual bleeding in two consecutive menstrual cycles and were randomized to using the PBAC paper diary or the PBAC mobile app format first. At the end of each cycle, a 10-point response scale satisfaction questionnaire and a system usability scale (mobile app only) assessed the acceptability of the format of the diary used. Weekly email reminders were sent in both groups. Mobile device notifications and reminders were used in the mobile app group. To compare the satisfaction survey results, the Hills and Armitage method for analyzing cross-over data was used which included evaluation of period effect, group effect, and their interaction using a series of independent t-tests. Results The 25 subjects enrolled had a median age of 15 years (range 13-21 years). Eleven (44%) had identified bleeding disorders. Twenty-two (88%) could use phones in school. Subjects' PBAC scores did not have significant variability between the paper diary (median PBAC=95) and the mobile app (median PBAC=114). There was a median number of 2 entry times per day in both groups. There was no significant difference in the number of app entries subjects reported to study staff and the actual number recorded in the app. For the mobile app, twenty subjects (80%) had high compliance for reporting bleeding symptoms (app entries for >80% of cycle duration). There were no subjects with low compliance (app entries for <50% of cycle duration). All paper diaries received by study staff met definition for high compliance. The most common reasons subjects listed for missing a daily entry were 1) forgetting to enter data or 2) app not working. Results of the cross-over analysis showed that subject satisfaction was significantly higher for mobile app (mean satisfaction score of 9.5/40 with 4/40 being most satisfied) than for the paper diary (mean satisfaction score of 17.8/40) (p <0.001). Twenty (80%) subjects preferred the mobile app over the paper diary. There was no significant period effect or group by period interaction. Discussion This study demonstrated that a PBAC mobile app as compared to the PBAC paper diary was the preferred method of recording menstrual bleeding in adolescents and demonstrated feasibility as a research data collection tool. The app received stronger satisfaction scores and overall compliance was high. A PBAC mobile app is unique compared to publicly available apps because it allows girls and women to quantify their heaviness of flow during menses. Most menstrual tracking apps only track length of cycles or use qualitative assessments of bleeding. In a clinical setting, data from the PBAC app can allow providers to see real-time bleeding symptoms allowing for adjustments in therapy. 1Higham JM, O'Brien PM, Shaw RW. Assessment of menstrual blood loss using a pictorial chart. Br J Obstet Gynaecol 1990:97(8):734-739. Disclosures No relevant conflicts of interest to declare.
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Minami, Yuki, Hiroshi Okajima, Kenji Sawada, and Kazuma Sekiguchi. "Special Issue on Navigation and Control Technologies for Autonomous Mobility." Journal of Robotics and Mechatronics 35, no. 2 (April 20, 2023): 229–30. http://dx.doi.org/10.20965/jrm.2023.p0229.
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Autonomous mobility, as exemplified by self-driving cars, autonomous mobile robots, drones, etc., is essential to the acceleration and practical application of transportation services and the automation of delivery, guidance, security, and inspection. Therefore, in recent years, expectations have been building for autonomous mobility to grow as a technology that not only improves the convenience and comfort of transportation and the efficiency of logistics but also leads to solutions to various social problems. Various technological elements are required to ensure the safety and quality of autonomous mobility. For example, technology is needed to create environmental maps and automatically determine obstacles based on data acquired by cameras and sensors such as LiDAR. Technologies for planning appropriate routes and controlling robots safely and comfortably are also essential. This special issue highlights 24 exciting papers, including 20 research papers, three letters, and one development report. They are related to “recognition,” “decision and planning,” and “control” technologies for autonomous mobile robots, such as self-driving cars and drones. The papers’ keywords are as follows: • Collision avoidance, path planning, path tracking control • Motion control, attitude control • Measurement, position and posture estimation, modeling • Point cloud processing We would like to express our gratitude to all authors and reviewers, and we hope that this special issue contributes to future research and development in autonomous mobility.
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Wang, Yifan, and Xiaoyan Wang. "Research on SLAM Road Sign Observation Based on Particle Filter." Computational Intelligence and Neuroscience 2022 (June 20, 2022): 1–9. http://dx.doi.org/10.1155/2022/4478978.
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With the development of computer hardware technology, the real-time problem of visual target tracking algorithm increasingly depends on hardware solutions. The core problem of visual target tracking is how to enhance the robustness of tracking algorithm to various complex background environments and various interference factors. Aiming at overcoming the defect that the traditional SLAM (simultaneous localization and map building) algorithm based on EKF (extended Kalman filter) has a slow repair speed for environmental interference, a Monocular SLAM_WOCPF (Monocular vision SLAM based on weight optimization combined particle filter) algorithm is proposed. The weights of all particles are reoptimized in the particle set and they are combined with the tendency of particles to degenerate and deplete. In this way, the chance of self replication of low weight particles is increased, thus increasing the diversity of the whole sample. Furthermore, the improved PF (particle filter) algorithm is applied to solve the problem of road sign observation of mobile robots, so as to expand its application scope. The results show that the mean road sign errors of the Monocular SLAM_WOCPF algorithm in two noise environments are 0.332/m and 0.441/m. The conclusion shows that the Monocular SLAM_WOCPF road sign observation method proposed in this paper can effectively improve the matching success rate of visual road signs and improve the observation quality.
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Chaudhry, Beenish Moalla, Dipanwita Dasgupta, and Nitesh Chawla. "Formative Evaluation of a Tablet Application to Support Goal-Oriented Care in Community-Dwelling Older Adults." Proceedings of the ACM on Human-Computer Interaction 6, MHCI (September 19, 2022): 1–21. http://dx.doi.org/10.1145/3546743.
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Tools that can help older adults self-manage multiple health goals in collaboration with their care managers are rare to find. Informed by the Self-Determination Theory, Goal-Oriented Care paradigm and our prior findings, we used an iterative, user-centered process to design a tablet application to facilitate Goal-Oriented care in community-dwelling low income older adults with chronic (multi)morbidity. A formative in-situ evaluation was conducted in which 20 participants used the app to set and track health and wellness goals for 24 weeks, while participants' interactions with the app were logged. At the end of the study, semi-structured interviews were administered to understand how the app was used. Thirteen participants used the app throughout the study, while the remaining abandoned after short usage. Thematic analysis of the qualitative feedback shows that participants who used the app increased their commitment towards their goals and adopted healthy behaviors. Health issues, time constraints, lack of technical know-how and doubts about goal-setting paradigm were identified as primary reasons for low app usage and abandonment. Tools for Goal-Oriented care should support personalized goal exploration, build trust in the care paradigm, support collaboration, design for motivation, lower barriers to tracking and support re-engagement after abandonment. Carefully designed mobile apps have the potential to support Goal-Oriented care for older adults.