Journal articles: 'Accessibility in human-centered computing'

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Kosmas, Panagiotis, George Galanakis, Vaso Constantinou, Giannis Drossis, Maria Christofi, Iosif Klironomos, Panayiotis Zaphiris, Margherita Antona, and Constantine Stephanidis. "Enhancing accessibility in cultural heritage environments: considerations for social computing." Universal Access in the Information Society 19, no. 2 (April 4, 2019): 471–82. http://dx.doi.org/10.1007/s10209-019-00651-4.

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Shinohara, Kristen, Murtaza Tamjeed, Michael McQuaid, and Dymen A. Barkins. "Usability, Accessibility and Social Entanglements in Advanced Tool Use by Vision Impaired Graduate Students." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (November 7, 2022): 1–21. http://dx.doi.org/10.1145/3555609.

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Despite increasing work investigating the accessibility of research tools, most accessibility research has traditionally focused on popular, mainstream, or web technologies. We investigated barriers and workarounds blind and low vision doctoral students in computing-intensive disciplines experienced and engaged, respectively, when using advanced technical tools for research tasks. We conducted an observation and interview study with eight current and former Ph.D. students, closely analyzing the accessibility of specific tasks. Our findings contextualize how inaccessible tools complicate research tasks, adding time and effort, and exacerbating social entanglements in collaborative relationships. This work contributes empirical data that extricates how in/accessibility of advanced technical tools used in research influences productivity and collegial efforts.

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Mountapmbeme, Aboubakar, Obianuju Okafor, and Stephanie Ludi. "Addressing Accessibility Barriers in Programming for People with Visual Impairments: A Literature Review." ACM Transactions on Accessible Computing 15, no. 1 (March 31, 2022): 1–26. http://dx.doi.org/10.1145/3507469.

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Accessibility issues with programming languages and programming environments pose a major barrier for students with visual impairments to participate in computing related courses as well as threatens the productivity of professional programmers with visual impairments. To remedy this, the past two decades have witnessed an increase in accessibility research designed to investigate and address the challenges faced by people with visual impairments while programming or learning how to program. We conducted a literature review of accessibility research in this domain. The aim was to identify, aggregate, and highlight known accessibility barriers to programming faced by professional programmers and students with visual impairments learning how to code as well as to identify all solutions that have been proposed to address these barriers. We selected and analyzed 70 papers reporting on accessibility of programming and programming environments for people with visual impairments. Numerous barriers to programming by people with visual impairments have been identified in the literature. Some of these barriers are understudied and present opportunities for future work. A lot of studies have also proposed tools and new accessible programming languages to address the accessibility issues of current programming languages and programming environments.

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Oke, Ayodeji Emmanuel, Ahmed Farouk Kineber, Ibraheem Albukhari, Idris Othman, and Chukwuma Kingsley. "Assessment of Cloud Computing Success Factors for Sustainable Construction Industry: The Case of Nigeria." Buildings 11, no. 2 (January 23, 2021): 36. http://dx.doi.org/10.3390/buildings11020036.

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Cloud Computing has become a valuable platform for sustainability in many countries. This study evaluates the cloud computing implementation and its Critical Success Factors (CSFs) towards ensuring sustainable construction projects in Nigeria. Data were collected from previous literature, supplemented by a quantitative approach via a questionnaire survey. Data were collected from 104 construction professionals while cloud computing CSFs were examined using Relative Importance Ranking (RII) and Exploratory Factor Analysis (EFA). The results show that cloud computing’s awareness level is 96.2%, which means that the respondents are aware of cloud computing concept. Furthermore, the result shows that most of the respondents are adopting the concept. The analysis of the CSFs indicated that reliable data storage, performance as well as cost of accessibility and availability were the four most significant CSFs to cloud computing applications. Analysis of the CSFs through EFA generated four main components which include human satisfaction, organization, client’s acceptance, and industry-based. Consequently, this study contributed to existing body of knowledge by highlighting the cloud computing CSFs for achieving sustainable construction project. As such, the results could be a game-changer in the construction industry—not only in Nigeria but also in developing nations where construction projects are implemented through similar style and procedure. This study would be a benchmark for supporting decision-makers to improve data fragmentation, in which the use of data is paramount to the execution of construction works. Finally, the results of this study would be useful for enhancing sustainability and general management of construction projects through cloud computing implementation.

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Huang, Yingjing, Teng Fei, Mei-Po Kwan, Yuhao Kang, Jun Li, Yizhuo Li, Xiang Li, and Meng Bian. "GIS-Based Emotional Computing: A Review of Quantitative Approaches to Measure the Emotion Layer of Human–Environment Relationships." ISPRS International Journal of Geo-Information 9, no. 9 (September 15, 2020): 551. http://dx.doi.org/10.3390/ijgi9090551.

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In recent years, with the growing accessibility of abundant contextual emotion information, which is benefited by the numerous georeferenced user-generated content and the maturity of artificial intelligence (AI)-based emotional computing technics, the emotion layer of human–environment relationship is proposed for enriching traditional methods of various related disciplines such as urban planning. This paper proposes the geographic information system (GIS)-based emotional computing concept, which is a novel framework for applying GIS methods to collective human emotion. The methodology presented in this paper consists of three key steps: (1) collecting georeferenced data containing emotion and environment information such as social media and official sites, (2) detecting emotions using AI-based emotional computing technics such as natural language processing (NLP) and computer vision (CV), and (3) visualizing and analyzing the spatiotemporal patterns with GIS tools. This methodology is a great synergy of multidisciplinary cutting-edge techniques, such as GIScience, sociology, and computer science. Moreover, it can effectively and deeply explore the connection between people and their surroundings with the help of GIS methods. Generally, the framework provides a standard workflow to calculate and analyze the new information layer for researchers, in which a measured human-centric perspective onto the environment is possible.

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Prasad, Ch G. V. N., A. Mallareddy, M. Pounambal, and Vijayasherly Velayutham. "Edge Computing and Blockchain in Smart Agriculture Systems." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 1s (December 14, 2022): 265–73. http://dx.doi.org/10.17762/ijritcc.v10i1s.5848.

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The advancement of Internet-based technologies has made huge progress toward improving the accessibility of "smart agriculture." With the advent of unmanned and automatic management, smart agriculture is now able to accomplish monitoring, supervision, and real-time picture monitoring. It is not possible to know for sure that the data in a smart agriculture system is complete and secure from intrusion. This article investigates and assesses the potential of edge computing and blockchain for use in smart agriculture. We combine the advantages of blockchain technology and the edge computing framework to create a smart agriculture framework system that is based on a very straightforward analysis of the evolution of smart agriculture. The study proposes a thorough method for emphasizing the significance of agriculture and edge computing, as well as the advantages of incorporating blockchain technology in this context. This paper also proposes an intelligent agricultural product traceability system design: edge computing with blockchain for smart agriculture. The study concludes with a discussion of outstanding problems and difficulties that can arise during the creation of a blockchain-based edge computing system for smart agriculture systems.

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Kaján, László, Guy Yachdav, Esmeralda Vicedo, Martin Steinegger, Milot Mirdita, Christof Angermüller, Ariane Böhm, et al. "Cloud Prediction of Protein Structure and Function with PredictProtein for Debian." BioMed Research International 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/398968.

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We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud: the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.

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Hayes, Lauren, and Adnan Marquez-Borbon. "Addressing NIME's Prevailing Sociotechnical, Political, and Epistemological Exigencies." Computer Music Journal 44, no. 2-3 (2020): 24–38. http://dx.doi.org/10.1162/comj_a_00562.

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Abstract Nearly two decades after its inception as a workshop at the Association for Computing Machinery Conference on Human Factors in Computing Systems, New Interfaces for Musical Expression (NIME) exists as an established international conference significantly distinct from its precursor. Although this origin story is often noted, the implications of NIME's history as emerging from a field predominantly dealing with human–computer interaction (HCI) have rarely been discussed. In this paper we highlight many of the recent—and some not so recent—challenges that have been brought upon the NIME community as it attempts to maintain and expand its identity as a platform for multidisciplinary research into HCI, interface design, and electronic and computer music. We discuss the relationship between the market demands of the neoliberal university—which have underpinned academia's drive for innovation—and the quantification and economization of research performance that have facilitated certain disciplinary and social frictions to emerge within NIME-related research and practice. Drawing on work that engages with feminist theory and cultural studies, we suggest that critical reflection and, moreover, mediation is necessary to address burgeoning concerns that have been raised within the NIME discourse in relation to methodological approaches, “equity, diversity, and inclusion,” “accessibility,” and the fostering of “rigorous” interdisciplinary research.

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Zhao, Yanping, Rajeev Kumar Gupta, and Edeh Michael Onyema. "Robot visual navigation estimation and target localization based on neural network." Paladyn, Journal of Behavioral Robotics 13, no. 1 (January 1, 2022): 76–83. http://dx.doi.org/10.1515/pjbr-2022-0005.

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Abstract The high computational cost, complex external environment, and limited computing resources of embedded system are some major problems in traditional autonomous robot navigation methods. To overcome these problems, a mobile robot path planning navigation system based on panoramic vision was proposed. This method first describes the structure and functions of the navigation system. It explains how to use the environment to explore and map in order to create a panoramic vision sensor. Finally, it elaborates on the breadth-first search based on regression neural network (RNN) method, the Voronoi skeleton diagram method, the algorithm principle, and how to navigate by the planning path implementation of practical strategies. The simulation results illustrate that the breadth-first search method and the Voronoi skeleton graph method based on panoramic view have a high speed. The accessibility of RNN planning algorithm can effectively solve the difficult problems such as high computing overhead, complex navigation environment, and limited computing resources. In the actual robot navigation experiment, the difference in real-time performance and optimality performance that exists between the two algorithms is reflected in the length and duration of the course taken by the robot. When applied to a variety of site environments, the breadth-first search method requires between 23.2 and 45.3% more time to calculate the planned path than the Voronoi skeleton graph method, despite the fact that the planned path length is between 20.7 and 35.9% shorter using the breadth-first search method. It serves as a guide for choosing the appropriate algorithm to implement in practical applications.

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Benmoussa, Khaoula, Majida Laaziri, Samira Khoulji, Kerkeb Mohamed Larbi, and Abir El Yamami. "Enhanced model for ergonomic evaluation of information systems: application to scientific research information system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (February 1, 2019): 683. http://dx.doi.org/10.11591/ijece.v9i1.pp683-694.

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<p><span lang="EN-US">Considering the importance of the ergonomic aspect for information systems in providing an easy use of the computing systems, this paper focuses on the elaboration of a hybrid model for the ergonomic evaluation of information systems that merges a set of inspection dimensions such as accessibility, practicality, emotionality, and technological persuasion. Details on how the model has been constructed and data have been collected are presented. For the evaluation of our model, a situation of an information system for scientific research (SIMArech) in Moroccan Universities has been studied. This model can be used by ergonomist and human factor professionals. It is found that the proposed heuristics can effectively assess the most important dimensions of scientific research information systems.</span></p>

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Erasmus, Jonnro, Paul Grefen, Irene Vanderfeesten, and Konstantinos Traganos. "Smart Hybrid Manufacturing Control Using Cloud Computing and the Internet-of-Things." Machines 6, no. 4 (December 3, 2018): 62. http://dx.doi.org/10.3390/machines6040062.

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Industry 4.0 is expected to deliver significant gains in productivity by assimilating several technological advancements including cloud computing, the Internet-of-Things, and smart devices. However, it is unclear how these technologies should be leveraged together to deliver the promised benefits. We present the architecture design of an information system that integrates these technologies to support hybrid manufacturing processes, i.e., processes in which human and robotic workers collaborate. We show how well-structured architecture design is the basis for a modular, complex cyber-physical system that provides horizontal, cross-functional manufacturing process management and vertical control of heterogenous work cells. The modular nature allows the extensible cloud support enhancing its accessibility to small and medium enterprises. The information system is designed as part of the HORSE Project: a five-year research and innovation project aimed at making recent technological advancements more accessible to small and medium manufacturing enterprises. The project consortium includes 10 factories to represent the typical problems encountered on the factory floor and provide real-world environments to test and evaluate the developed information system. The resulting information system architecture model is proposed as a reference architecture for a manufacturing operations management system for Industry 4.0. As a reference architecture, it serves two purposes: (1) it frames the scientific inquiry and advancement of information systems for Industry 4.0 and (2) it can be used as a template to develop commercial-grade manufacturing applications for Industry 4.0.

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Guzdial, Mark. "Human-centered computing." Communications of the ACM 56, no. 5 (May 2013): 32–34. http://dx.doi.org/10.1145/2447976.2447987.

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M Abd El-Aziz, Rasha, Rayan Alanazi, Osama R Shahin, Ahmed Elhadad, Amr Abozeid, Ahmed I Taloba, and Riyad Alshalabi. "An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing." Computational Intelligence and Neuroscience 2022 (January 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/7425846.

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Patients are required to be observed and treated continually in some emergency situations. However, due to time constraints, visiting the hospital to execute such tasks is challenging. This can be achieved using a remote healthcare monitoring system. The proposed system introduces an effective data science technique for IoT supported healthcare monitoring system with the rapid adoption of cloud computing that enhances the efficiency of data processing and the accessibility of data in the cloud. Many IoT sensors are employed, which collect real healthcare data. These data are retained in the cloud for the processing of data science. In the Healthcare Monitoring-Data Science Technique (HM-DST), initially, an altered data science technique is introduced. This algorithm is known as the Improved Pigeon Optimization (IPO) algorithm, which is employed for grouping the stored data in the cloud, which helps in improving the prediction rate. Next, the optimum feature selection technique for extraction and selection of features is illustrated. A Backtracking Search-Based Deep Neural Network (BS-DNN) is utilized for classifying human healthcare. The proposed system’s performance is finally examined with various healthcare datasets of real time and the variations are observed with the available smart healthcare systems for monitoring.

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Tiwari, Vivek, and Basant Tiwari. "A Data Driven Multi-Layer Framework of Pervasive Information Computing System for eHealthcare." International Journal of E-Health and Medical Communications 10, no. 4 (October 2019): 66–85. http://dx.doi.org/10.4018/ijehmc.2019100106.

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In the last decade, significant advancements in telecommunications and informatics have seen which incredibly boost mobile communications, wireless networks, and pervasive computing. It enables healthcare applications to increase human livelihood. Furthermore, it seems feasible to continuous observation of patients and elderly individuals for their wellbeing. Such pervasive arrangements enable medical experts to analyse current patient status, minimise reaction time, increase livelihood, scalability, and availability. There is found plenty of remote patient monitoring model in literature, and most of them are designed with limited scope. Most of them are lacking to give an overall unified, complete model which talk about all state-of-the-art functionalities. In this regard, remote patient monitoring systems (RPMS's) play important roles through wearable devices to monitor the patient's physiological condition. RPMS also enables the capture of related videos, images, and frames. RPMS do not mean to enable only capturing various sorts of patient-related information, but it also must facilitate analytics, transformation, security, alerts, accessibility, etc. In this view, RPMS must ensure some broad issues like, wearability, adaptability, interoperability, integration, security, and network efficiency. This article proposes a data-driven multi-layer architecture for pervasively remote patient monitoring that incorporates these issues. The system has been classified into five fundamental layers: the data acquisition layer, the data pre-processing layer, the network and data transfer layer, the data management layer and the data accessing layer. It enables patient care at real-time using the network infrastructure efficiently. A detailed discussion on various security issues have been carried out. Moreover, standard deviation-based data reduction and a machine-learning-based data access policy is also proposed.

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Nowinski, Wieslaw L. "Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability." Neuroinformatics 19, no. 1 (July 29, 2020): 1–22. http://dx.doi.org/10.1007/s12021-020-09481-9.

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AbstractHuman brain atlases have been evolving tremendously, propelled recently by brain big projects, and driven by sophisticated imaging techniques, advanced brain mapping methods, vast data, analytical strategies, and powerful computing. We overview here this evolution in four categories: content, applications, functionality, and availability, in contrast to other works limited mostly to content. Four atlas generations are distinguished: early cortical maps, print stereotactic atlases, early digital atlases, and advanced brain atlas platforms, and 5 avenues in electronic atlases spanning the last two generations. Content-wise, new electronic atlases are categorized into eight groups considering their scope, parcellation, modality, plurality, scale, ethnicity, abnormality, and a mixture of them. Atlas content developments in these groups are heading in 23 various directions. Application-wise, we overview atlases in neuroeducation, research, and clinics, including stereotactic and functional neurosurgery, neuroradiology, neurology, and stroke. Functionality-wise, tools and functionalities are addressed for atlas creation, navigation, individualization, enabling operations, and application-specific. Availability is discussed in media and platforms, ranging from mobile solutions to leading-edge supercomputers, with three accessibility levels. The major application-wise shift has been from research to clinical practice, particularly in stereotactic and functional neurosurgery, although clinical applications are still lagging behind the atlas content progress. Atlas functionality also has been relatively neglected until recently, as the management of brain data explosion requires powerful tools. We suggest that the future human brain atlas-related research and development activities shall be founded on and benefit from a standard framework containing the core virtual brain model cum the brain atlas platform general architecture.

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Naranjo-Zeledón, Luis, Jesús Peral, Antonio Ferrández, and Mario Chacón-Rivas. "A Systematic Mapping of Translation-Enabling Technologies for Sign Languages." Electronics 8, no. 9 (September 18, 2019): 1047. http://dx.doi.org/10.3390/electronics8091047.

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Sign languages (SL) are the first language for most deaf people. Consequently, bidirectional communication among deaf and non-deaf people has always been a challenging issue. Sign language usage has increased due to inclusion policies and general public agreement, which must then become evident in information technologies, in the many facets that comprise sign language understanding and its computational treatment. In this study, we conduct a thorough systematic mapping of translation-enabling technologies for sign languages. This mapping has considered the most recommended guidelines for systematic reviews, i.e., those pertaining software engineering, since there is a need to account for interdisciplinary areas of accessibility, human computer interaction, natural language processing, and education, all of them part of ACM (Association for Computing Machinery) computing classification system directly related to software engineering. An ongoing development of a software tool called SYMPLE (SYstematic Mapping and Parallel Loading Engine) facilitated the querying and construction of a base set of candidate studies. A great diversity of topics has been studied over the last 25 years or so, but this systematic mapping allows for comfortable visualization of predominant areas, venues, top authors, and different measures of concentration and dispersion. The systematic review clearly shows a large number of classifications and subclassifications interspersed over time. This is an area of study in which there is much interest, with a basically steady level of scientific publications over the last decade, concentrated mainly in the European continent. The publications by country, nevertheless, usually favor their local sign language.

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Alaeddine, H., K. Serrhini, M. Maizia, and E. Néron. "A spatiotemporal optimization model for the evacuation of the population exposed to flood hazard." Natural Hazards and Earth System Sciences 15, no. 3 (March 30, 2015): 687–701. http://dx.doi.org/10.5194/nhess-15-687-2015.

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Abstract. Managing the crisis caused by natural disasters, and especially by floods, requires the development of effective evacuation systems. An effective evacuation system must take into account certain constraints, including those related to traffic network, accessibility, human resources and material equipment (vehicles, collecting points, etc.). The main objective of this work is to provide assistance to technical services and rescue forces in terms of accessibility by offering itineraries relating to rescue and evacuation of people and property. We consider in this paper the evacuation of an urban area of medium size exposed to the hazard of flood. In case of inundation, most people will be evacuated using their own vehicles. Two evacuation types are addressed in this paper: (1) a preventive evacuation based on a flood forecasting system and (2) an evacuation during the disaster based on flooding scenarios. The two study sites on which the developed evacuation model is applied are the Tours valley (Fr, 37), which is protected by a set of dikes (preventive evacuation), and the Gien valley (Fr, 45), which benefits from a low rate of flooding (evacuation before and during the disaster). Our goal is to construct, for each of these two sites, a chronological evacuation plan, i.e., computing for each individual the departure date and the path to reach the assembly point (also called shelter) according to a priority list established for this purpose. The evacuation plan must avoid the congestion on the road network. Here we present a spatiotemporal optimization model (STOM) dedicated to the evacuation of the population exposed to natural disasters and more specifically to flood risk.

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Alaeddine, H., K. Serrhini, M. Maïzia, and E. Néron. "A spatio-temporel optimization model for the evacuation of the population exposed to natural disasters." Natural Hazards and Earth System Sciences Discussions 3, no. 1 (January 5, 2015): 1–39. http://dx.doi.org/10.5194/nhessd-3-1-2015.

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Abstract. The importance of managing the crisis caused by natural disasters, and especially by flood, requires the development of an effective evacuation systems. An effective evacuation system must take into account certain constraints, including those related to network traffic, accessibility, human resources and material equipment (vehicles, collecting points, etc.). The main objective of this work is to provide assistance to technical services and rescue forces in terms of accessibility by offering itineraries relating to rescue and evacuation of people and property. We consider in this paper the evacuation of an urban area of medium size exposed to the hazard of flood. In case of inundation, most people will be evacuated using their own vehicles. Two evacuation types are addressed in this paper, (1) a preventive evacuation based on a flood forecasting system and (2) an evacuation during the disaster based on flooding scenarios. The two study sites on which the evacuation model developed is applied are the valley of Tours (Fr, 37) which is protected by a set of dikes (preventive evacuation) and the valley of Gien (Fr, 45) which benefits of a low rate of flooding (evacuation before and during the disaster). Our goal is to construct, for each of these two sites, a chronological evacuation plan i.e. computing for each individual the departure date and the path to reach the assembly point (also called shelter) associated according to a priorities list established for this purpose. Evacuation plan must avoid the congestion on the road network. Here we present a Spatio-Temporal Optimization Model (STOM) dedicated to the evacuation of the population exposed to natural disasters and more specifically to flood risk.

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Abdulkadhim, Mustafa, and . "An End To End Ioe-Based Technology Solution for Diabetic Healthcare." International Journal of Engineering & Technology 7, no. 3.13 (July 27, 2018): 196. http://dx.doi.org/10.14419/ijet.v7i3.13.17332.

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In the context of keeping the elderly healthy and safe and with the development of the modern small energy efficient technology, with the help of a health monitoring device (HM) as a main activity. The Cloud-based IoT architecture contains a cloud computing and the Internet of Things In order to focus on the advantages that was derived from the complementarities. The sensing services is focused on the development of the sensors data usage and accessibility. beginning from the general scenarios of this service, this paper discusses a Human Machine-oriented Sensing Service scenario with the goal to make the quality of the service and its implementation, taking In consideration the demanding interests of this service which doesn't come only from big medical facilities but also from general practitioners and small clinics. A mathematical model for simulating induced hyperglycemia and hypoglycemia and a smartwatch application is implemented for the patient as well as the health monitoring company (HMC) and the cloud infrastructure for the data to be stored was designed as well as the infrastructure necessary for the patient to run the solution in his/her home.

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Shafto, M. G., and R. R. Hoffman. "Human-centered computing at NASA." IEEE Intelligent Systems 17, no. 5 (September 2002): 10–14. http://dx.doi.org/10.1109/mis.2002.1039827.

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Hoffman, R. R., and J. F. Yates. "Decision making [human-centered computing]." IEEE Intelligent Systems 20, no. 4 (July 2005): 76–83. http://dx.doi.org/10.1109/mis.2005.67.

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Padhi, Prafulla Kumar, and Feranando Charrua-Santos. "6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework." Applied System Innovation 4, no. 3 (September 10, 2021): 66. http://dx.doi.org/10.3390/asi4030066.

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Digital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing, massive data analytics, and tiny artificial intelligence, especially tiny machine learning, can be used to palpate a patient’s health status, physiologically and psychologically transforming the current healthcare system. To remotely detect patients’ emotional state of diagnosing diseases, the integration of 6G enabled Tactile Internet, cognitive data intelligence, and Internet of Healthcare Everything is proposed to form the 6GCIoHE system that aims at achieving global ubiquitous accessibility, extremely low latency, high reliability, and elevated performance in cognitive healthcare in real time to ensure patients receive prompt treatment, especially for the haptic actions. Judiciously, a model-driven methodology is proffered to facilitate the 6GCIoHE system design and development that adopts different refinement levels to incorporate the cognitive healthcare requirements through the interactions of semantic management, process management, cognitive intelligence capabilities, and knowledge sources. Based on the 6GCIoHE system architecture, applications, and challenges, the aim of this study was accomplished by developing a novel theoretical framework to captivate further research within the cognitive healthcare field.

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Parabrahmachari, Sriram, and Dr N. Srinivasan. "Iot Technology-Based Smart Distribution Framework for the Recognition of Vulnerabilities." Journal of University of Shanghai for Science and Technology 23, no. 07 (June 30, 2021): 136–51. http://dx.doi.org/10.51201/jusst/21/06487.

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The Internet of Things (IoT) transforms everybody’s life through functionality like control and tracking of linked intelligent devices. Smart towns, houses, vehicles, factories, e-healthcare to intelligent control systems, commuting, clothing, agriculture, and many more size IoT applications. The adaptation of these instruments is increasing rapidly, generating considerable data for visualization and interpretation. These systems are also vulnerable to various security risks and issues alongside easy human life, which not only concern consumers for their adoption in sensitive environments such as e-health, smart homes, and so on but also represent a risk for IoT nutrition in the next few days. The Internet of Things (IoT) transforms everybody’s life through functions like the tracking and surveillance of the associated intelligent objects. Smart cities, houses, vehicles, factories, e-healthcare, commuting, wearable tech, agriculture, and more are all IoT technologies. The adaptation of such instruments is exponentially increasing, which produces considerable data for processing and analysis. These systems are thus vulnerable to various threats and safety challenges alongside facilitating human life, not only causing concern to the consumers for their use in centralized locations including such e-health and intelligent home, etc but also posing a risk to IoT nutrition in the coming days. Moreover, a detailed competitive study between the suggested technique and other related schemes reveals that a better deal is reached with the suggested Method in comparison with other schemes between the safety and accessibility features, connectivity, and computing costs.

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Shafto, Michael G., Anthony R. Gross, and William J. Clancey. "Human-Centered Computing for Aerospace Applications." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 1 (July 2000): 243. http://dx.doi.org/10.1177/154193120004400165.

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Syamimi Masrani, Afiqah, and Nik Rosmawati Nik Husain. "Digital environment: An evolutionary component in environmental health." Journal of Public Health Research 11, no. 2 (April 2022): 227990362211031. http://dx.doi.org/10.1177/22799036221103125.

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The COVID-19 pandemic has hastened the progress of digitalization where the public is forced to embrace paradigm shifts on how we function in a digital society. The way we work, learn, live, and play daily has drastically changed with the revolution of digital systems from their analog predecessor. This transformation warrants the digital environment as a social determinant of health. It comprises the whole continuum from the tangible aspects of the computing devices, their programing and information system, the network technologies connecting them, and the product of interactivity between people to people and people to the digital interface. Despite permeating the everyday life of each level of society, the digital environment has yet to be scrutinized comprehensively in terms of health. A review of the literature produces fragmented results where different specialties within and beyond the medical field lay claim to the various aspects of digitalization. We proposed five domains within the digital environment namely digital transformation, digital health, digital technology, digital identity, and digital media that exerts diversified pressure on the digital environment through human activities. Their subjacent linkage to human health and environmental impact is further discussed by using the DPSEEA framework. Challenges that crossed all domains were discussed including the widening gap of inequalities secondary to the limited availability of, and accessibility to digitalization. Considering the rapid speed at which we propel to a fully immersive virtual world, a timely transformation of environmental health to include the digital environment as part of its main components is inevitable.

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Moon, Dekita. "Human-centered computing lab at Clemson University." Interactions 20, no. 2 (March 2013): 84–87. http://dx.doi.org/10.1145/2427076.2427096.

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Sears, Andrew, Jonathan Lazar, Ant Ozok, and Gabriele Meiselwitz. "Defining an agenda for human-centered computing." ACM SIGACCESS Accessibility and Computing, no. 91 (June 2008): 17–21. http://dx.doi.org/10.1145/1394427.1394430.

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Sears, Andrew, Jonathan Lazar, Ant Ozok, and Gabriele Meiselwitz. "Human-Centered Computing: Defining a Research Agenda." International Journal of Human-Computer Interaction 24, no. 1 (January 10, 2008): 2–16. http://dx.doi.org/10.1080/10447310701771456.

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Jain, R. "EventWeb: Developing a Human-Centered Computing System." Computer 41, no. 2 (February 2008): 42–50. http://dx.doi.org/10.1109/mc.2008.49.

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Zhang, Jiajie. "Human-centered computing in health information systems." Journal of Biomedical Informatics 38, no. 3 (June 2005): 173–75. http://dx.doi.org/10.1016/j.jbi.2004.12.005.

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Brezillon, P. "Focusing on context in human-centered computing." IEEE Intelligent Systems 18, no. 3 (May 2003): 62–66. http://dx.doi.org/10.1109/mis.2003.1200731.

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Sears, Andrew, Jonathan Lazar, Ant Ozok, and Gabriele Meiselwitz. "Defining an agenda for human-centered computing." Bulletin of the American Society for Information Science and Technology 34, no. 4 (September 17, 2008): 35–37. http://dx.doi.org/10.1002/bult.2008.1720340409.

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Cannata, M., D. Strigaro, F. Lepori, C. Capelli, M. Rogora, and D. Manca. "FOSS4G BASED HIGH FREQUENCY AND INTEROPERABLE LAKE WATER-QUALITY MONITORING SYSTEM." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (August 19, 2021): 25–29. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-25-2021.

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Abstract. Climate, together with human activities, is changing the natural dynamics in lake ecosystems and adding new challenges to the management of water resources. Recent studies on Lake Lugano, in Switzerland, showed for instance that the increased water temperature influence other processes such as lake stratification and mixing dynamics, algal blooms, colonisation by alien species, affecting the lake ecosystem as a whole. In such situation, real-time systems with high frequency measurements, together with the traditional discrete monitoring, can help in understanding dynamics and processes occurring on short time scales. To this aim, an open monitoring system largely composed by open source components is being developed for the high frequency monitoring of Lake Lugano. The system relies on the open source software istSOS either on the server and node sides applying the edge computing paradigm which is more and more adopted in the Internet of Things field. The implementation collects temperature and dissolved oxygen data from sensors positioned at six different depths of the lake and transmits them using the LoRa radio frequency to a data warehouse. At server side, the software architecture adopts the evolving technology based on containers where services can be grouped in a compose and easily deployed on a server. This paper aims to describe the adopted open source technology and demonstrate that it can be successfully used also in environmental monitoring where the accessibility is limited and the weather conditions can be unpredictable.

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Mallavarapu, S., and A. Lokam. "Circuit Modeling and Analysis of Wearable Antennas on the Effect of Bending for Various Feeds." Engineering, Technology & Applied Science Research 12, no. 1 (February 12, 2022): 8180–87. http://dx.doi.org/10.48084/etasr.4699.

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The promising utilization of wearable antennas has experienced gigantic growth during the last decade. An antenna is one of the most significant and crucial components of wireless wearable devices. They need to be particularly designed to work while worn on and off the body. The wearable antenna embedded into clothing finds its use in wireless communications including tracking and navigation, mobile and wearable computing, and public safety and security. For user accessibility, there is a growing requirement for incorporating antennas on or in clothing. Determining the dielectric characteristics of the flexible substrates utilized in the design of the wearable antenna is also essential. In this paper, a Microstrip Ring Resonator (MRR) is employed to determine the dielectric properties of fabric substrates followed by state-of-the-art designs of wearable antennas and their bending effects at ISM band frequencies. An electrical equivalent model is designed to realize the potentials inside the geometry of an antenna under bending environment. This is followed by observing the effect of bending for different feeding methods on the wearable antenna's parameters when bending on a certain radius. The robustness of the proposed wearable antenna is examined by measuring the antenna under various bending curvatures for return loss, gain, and efficiencies. This will disclose the various contemplations for designing a wearable antenna from different feeding mechanisms with different materials and exemplifying the antenna's outcomes to dynamic moments of the human body. The performance of the proposed wearable antenna is acceptable even in a deformation environment, and there is a good agreement between the measured and the simulation results.

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Brown, J. R., A. van Dam, R. Earnshaw, J. Encarnacao, R. Guedj, J. Preece, B. Shneiderman, and J. Vince. "Human-centered computing, online communities, and virtual environments." IEEE Computer Graphics and Applications 19, no. 6 (1999): 70–74. http://dx.doi.org/10.1109/38.799742.

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Brown, Judith R., Andy van Dam, Rae Earnshaw, Jose Encarnação, Richard Guedj, Jennifer Preece, Ben Shneiderman, and John Vince. "Human-centered computing, online communities and virtual environments." ACM SIGGRAPH Computer Graphics 33, no. 3 (August 1999): 42–62. http://dx.doi.org/10.1145/330572.330588.

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Jaimes, Alejandro, Daniel Gatica-Perez, Nicu Sebe, and Thomas S. Huang. "Guest Editors' Introduction: Human-Centered Computing--Toward a Human Revolution." Computer 40, no. 5 (May 2007): 30–34. http://dx.doi.org/10.1109/mc.2007.169.

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Pisoni, Galena, Natalia Díaz-Rodríguez, Hannie Gijlers, and Linda Tonolli. "Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage." Applied Sciences 11, no. 2 (January 19, 2021): 870. http://dx.doi.org/10.3390/app11020870.

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This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.

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Ford, Kenneth M., Patrick J. Hayes, Clark Glymour, and James Allen. "Cognitive Orthoses: Toward Human-Centered AI." AI Magazine 36, no. 4 (December 31, 2015): 5–8. http://dx.doi.org/10.1609/aimag.v36i4.2629.

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This introduction focuses on how human-centered computing (HCC) is changing the way that people think about information technology. The AI perspective views this HCC framework as embodying a systems view, in which human thought and action are linked and equally important in terms of analysis, design, and evaluation. This emerging technology provides a new research outlook for AI applications, with new research goals and agendas.

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Gross, Anthony R., and Madeleine M. Gross. "Human-Centered Computing for NASA Aeronautics and Space Programs." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 1 (July 2000): 244–47. http://dx.doi.org/10.1177/154193120004400166.

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Bullinger, H. J., and S. Y. Nof. "Special issue on human-centered computing systems in industry”." Computers in Industry 61, no. 4 (May 2010): 309–10. http://dx.doi.org/10.1016/j.compind.2010.04.001.

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Onisawa, Takehisa, and Sadaaki Miyamoto. "Applications of Soft Computing to Human-centered Information Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 1 (February 20, 1999): 1–2. http://dx.doi.org/10.20965/jaciii.1999.p0001.

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Soft computing was advocated by Prof. Zadeh as a total technology complementary to the advantages and disadvantages of fuzzy theory, neural network models, genetic algorithms, and so on - a wide variety of topics covered at scientific conferences, in books, in papers, etc. In human-centered information systems, human beings play a central role in information processing. Human information processing involves uncertainty, fuzziness, ambiguity, subjectivity, etc., be dealt with well by soft computing. Human-centered information processing systems are important fields of soft computing. This special issue was motivated by the editors' research project at the Tsukuba Advanced Research Alliance (TARA), University of Tsukuba. The title of this issue is thus similar to the TARA project title, Soft Computing and Human Centered Information Systems. This special issue comprehensively covers soft computing, including chaos theory, rough sets, multisets, as well as fuzzy theory, neural network models, and genetic algorithms. Human-centered information systems are also covered extensively, e.g., human imperfect information processing, human evaluation/judgment, optimal allocation problems, vehicle systems, and human intelligent information processing. This issue focuses on eight papers: The first, A Semantic-Ambiguity-Free Relational Model for Handling Imperfect Information, by Nakata, focuses on imperfect information without semantic ambiguity from the standpoint that an extension of relational models causes semantic ambiguity. This paper proposes an extended relational model in the framework of fuzzy sets and the theory of possibility. The paper formulates set and relational operations as extended relational algebra in the proposed model. The paper is applicable to human imperfect information processing. The second paper, Fuzzy Clustering for Detecting Linear Structures with Different Dimensions, by Umayahara et al., proposes a new objective function and an algorithm for detecting clusters with different dimensionalities. The proposed algorithm improves conventional approaches for detecting linear varieties with different dimensionalities. The paper also uses the noise cluster to deal with extraordinary data. The procedures of the proposed algorithm are demonstrated using numerical examples. The algorithm is useful for human evaluation data processing. As shown by Takahara et al., in An Adaptive Tabu Search and Other Metaheuristics for a Class of Optimal Allocation Problems, an adaptive tabu search for a class of optimal allocation problems uses a set of tables for objects as memory elements in which the search region becomes large, and the structure of memory and the search framework are simplified. This is applied to a class of optimal allocation problems in which small and irregular shapes are placed on a large sheet. The method's effectiveness is compared to results obtained by other metaheuristics. This method is useful for optimal allocation problems faced by human beings. The fourth paper, On Dynamic Clustering Models for 3-Way Data, by Sato, deals with 3-way data consisting of objects, attributes, and times using several clustering models. This paper focuses on the models for 3-way data observed by similarities of objects. The paper proposes models showing exact changes over time by fixing clusters during time. The model configuration is based on fuzzy additive clustering models. Models are modified based on data features. Numerical examples demonstrate that the proposed model shows the movements of objects over time. The fifth paper, A Fuzzy Linear Regression Analysis for Fuzzy Input-Output Data Using the Least Squares Method under Linear Constraints and Its Application to Fuzzy Rating Data, by Takemura, applies a fuzzy linear regression model to the analysis of fuzzy rating data. The paper considers a fuzzy linear regression model with fuzzy input data, fuzzy output data, and fuzzy parameters, since human rating data is usually fuzzy. The paper discusses fuzzy linear regression analysis using the least squares method under linear constraints. The present approach is rather heuristic in that it is an extension of the ordinary least squares method for crisp data. Fuzzy linear regression analysis is applied to psychological studies, i.e., the effect of perceived temperature and humidity on unpleasantness and behavioral intention in fashion shopping. This paper deals with human judgment, considering the human being as a human-centered system. The sixth paper, Study on Intelligent Vehicle Control Considering Driver Perception of Driving Environment, by Takahashi et al., discusses an approach of the design of an intelligent vehicle controller supporting driver vehicle use. The approach considers the interaction of the driving environment, vehicle behavior, and driver expectations of vehicle behavior. The paper uses a multiobjective decision-making model as the intelligent vehicle controller and a fuzzy measures and fuzzy integrals model to reflect driver characteristics. The simulation and experimental results show good vehicle control performance. A vehicle does not move without human control. In this sense, the paper deals with human-centered systems as such. The seventh paper, Determinism Measurement in Time Series by Chaotic Approach and Its Applications, by Fujimoto et al., discusses deterministic chaos. The proposed method, trajectory parallel measure (TPM), distinguishes chaos from embedded time series data. This is simpler than conventional methods and examines only the direction of tangential unit vectors of the trajectory in its neighborhood. This is applied to chaotic time series data with random noise. Fast Fourier transform (FFT) analysis is applied to data to verify the effectiveness of the proposed method. Although FFT analysis cannot distinguish the degree of random noise, the proposed TPM clearly distinguishes it. TPM is also applied to the diagnosis of automobile components. TPM detects abnormal acoustic time series data well. TPM is applicable to fault diagnosis of human-centered systems, e.g., vehicles. The final paper, Linguistic Expression Generation Model of Subjective Content in a Picture, by Iwata et al., proposes a model that expresses subjective contents in a picture given objective information on the picture. Objective information is information on object's location, size, direction, etc. Subjective content is emotions of a human object, the relationship between objects, and object behavior obtained from objective information. Human emotions are recognized from facial expressions using neural network models. Fuzzy reasoning is applied to infer the relationship between objects. Case-based reasoning is used to express object behavior. The effectiveness of the present model is verified by experiments. This paper deals with human intelligent information processing, considering the human being as a human-centered system. We thank Drs. T.Fukuda and K.Hirota, editors in chief of the JACI, for accepting our proposals for this special issue and for their ongoing encouragement during editing. Special thanks are due to all referees for their kind cooperation in helping prepare this issue. We also thank Mr.Y.Inoue for his advice on editing.

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Harutyunyan, Ashot, and Gregor Schiele. "J.UCS special issue on Challenges for Smart Environments – Human-Centered Computing, Data Science, and Ambient Intelligence. Smart Human-Centered Computing (volume 2)." JUCS - Journal of Universal Computer Science 27, no. 12 (December 28, 2021): 1272–74. http://dx.doi.org/10.3897/jucs.76822.

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Based on a successful funded collaboration between the American University of Armenia, the University of Duisburg-Essen and the University of Chile, in previous years a network was built, and in September 2020 a group of researchers gathered (although virtually) for the 2nd CODASSCA workshop on “Collaborative Technologies and Data Science in Smart City Applications”. This event has attracted 25 paper submissions which deal with the problems and challenges mentioned above. The studies are in specialized areas and disclose novel solutions and approaches based on existing theories suitably applied. The authors of the best papers published in the conference proceedings on Collaborative Technologies and Data Science in Artificial Intelligence Applications by Logos edition Berlin were invited to submit significantly extended and improved versions of their contributions to be considered for a journal special issue of J.UCS. There was also a J.UCS open call so that any author could submit papers on the highlighted subject. For this volume, we selected those devoted mainly to human-computer interaction problematics, which were rigorously reviewed in three rounds and 6 papers nominated to be published.

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Bhugeloo, Astika, Kabir Peerbhay, Syd Ramdhani, and Sershen. "Assessing the Trade-Offs of SPOT7 Imagery for Monitoring Natural Forest Canopy Intactness." Forests 9, no. 12 (December 18, 2018): 781. http://dx.doi.org/10.3390/f9120781.

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Natural and human-induced disturbances influence the biodiversity and functionality of forest ecosystems. Regular, repeated assessments of canopy intactness are essential to map site-specific forest disturbance and recovery patterns, an essential requirement for forest monitoring and management. However, accessibility to images required for this practice, uncertainty around the levels of accuracy achieved with images of different resolution, and the affordability of the practice challenges its application in many developing regions. This study aimed to compare the accuracy of forest gap detection (in subtropical forests) achieved with lower-resolution (SPOT7 5 m) and higher-resolution (SPOT7 1.5 m) pan-sharpened imagery. Additionally, the Normalised Difference Vegetation Index (NDVI) and Synthetic Aperture Radar (SAR) were compared in terms of their ability to increase the accuracy of this detection when used in conjunction with both high and low resolution imagery. Results indicate that the SPOT7 1.5 m imagery produced an overall accuracy of 77.78% and a ϰ coefficient of 0.66 compared with the 69.44% accuracy and the 0.59 ϰ coefficient achieved with the SPOT7 5 m imagery. Computing image texture analysis within the Random Forest classifier (RF) framework increased classification accuracies to 75.00% for the SPOT 5 m and 86.11% for the SPOT7 1.5 m imagery, validating the usefulness of texture analysis. Variable importance was used to identify wavebands and texture-derived variables that were the most effective in discriminating canopy gaps from intact canopy. In this regard, near infrared, NDVI, SAR, contrast, mean, entropy and second moment were the most important. Collectively the results indicate that the approach adopted in this study, i.e., the use of SPOT7 1.5 m imagery in conjunction with image texture analysis and variable importance, can be used to accurately discriminate between canopy gaps and intact canopy, making it a cost-effective spatial approach for monitoring and managing natural forests.

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Jaimes, Alejandro. "On the Intersection of Human-Centered Computing and Web Science." Journal of Computing Science and Engineering 7, no. 4 (December 30, 2013): 211–19. http://dx.doi.org/10.5626/jcse.2013.7.4.211.

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Hoffman, R. R., P. J. Hayes, and K. M. Ford. "Human-centered computing: thinking in and out of the box." IEEE Intelligent Systems 16, no. 5 (September 2001): 76–78. http://dx.doi.org/10.1109/5254.956085.

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Hoffman, R. R., P. J. Hayes, and K. M. Ford. "Human-centered computing: thinking in and out of the box." IEEE Intelligent Systems 16, no. 5 (2001): 76–78. http://dx.doi.org/10.1109/mis.2001.956085.

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Hoffman, R. R., A. Roesler, and B. M. Moon. "What is design in the context of human-centered computing?" IEEE Intelligent Systems 19, no. 4 (July 2004): 89–95. http://dx.doi.org/10.1109/mis.2004.36.

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Hoffman, Robert R., and Stephen M. Fiore. "Perceptual (Re)learning: A Leverage Point for Human-Centered Computing." IEEE Intelligent Systems 22, no. 3 (May 2007): 79–83. http://dx.doi.org/10.1109/mis.2007.59.

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Bargiela, A., and W. Pedrycz. "Toward a Theory of Granular Computing for Human-Centered Information Processing." IEEE Transactions on Fuzzy Systems 16, no. 2 (April 2008): 320–30. http://dx.doi.org/10.1109/tfuzz.2007.905912.

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Journal articles on the topic 'Accessibility in human-centered computing'

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