Academic literature on the topic 'Mobile User profiles'
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Journal articles on the topic "Mobile User profiles"
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PANAGIOTAKIS, SPYROS, MARIA KOUTSOPOULOU, and ATHANASSIA ALONISTIOTI. "CONTEXT-AWARENESS AND USER PROFILING IN MOBILE ENVIRONMENTS." International Journal of Semantic Computing 03, no. 03 (September 2009): 331–63. http://dx.doi.org/10.1142/s1793351x09000811.
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The evolution of mobile communication systems to 3G and beyond introduces requirements for flexible, customized, and ubiquitous multimedia service provision to mobile users. One must be able to know at any given time the network status, the user location, the profiles of the various entities (users, terminals, network equipment, services) involved and the policies that are employed within the system. Namely, the system must be able to cope with a large amount of context information. The present paper focuses on location and context awareness in service provisioning and proposes a flexible and innovative model for user profiling. The innovation is based on the enrichment of common user profiling architectures to include location and other contextual attributes, so that enhanced adaptability and personalization can be achieved. For each location and context instance an associated User Profile instance is created and hence, service provisioning is adapted to the User Profile instance that better apply to the current context. The generic model, the structure and the content of this location- and context-sensitive User Profile, along with some related implementation issues, are discussed.
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Wang, Dongjie, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, and Yanjie Fu. "Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4410–17. http://dx.doi.org/10.1609/aaai.v35i5.16567.
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In this paper, we study the problem of mobile user profiling, which is a critical component for quantifying users' characteristics in the human mobility modeling pipeline. Human mobility is a sequential decision-making process dependent on the users' dynamic interests. With accurate user profiles, the predictive model can perfectly reproduce users' mobility trajectories. In the reverse direction, once the predictive model can imitate users' mobility patterns, the learned user profiles are also optimal. Such intuition motivates us to propose an imitation-based mobile user profiling framework by exploiting reinforcement learning, in which the agent is trained to precisely imitate users' mobility patterns for optimal user profiles. Specifically, the proposed framework includes two modules: (1) representation module, that produces state combining user profiles and spatio-temporal context in real-time; (2) imitation module, where Deep Q-network (DQN) imitates the user behavior (action) based on the state that is produced by the representation module. However, there are two challenges in running the framework effectively. First, epsilon-greedy strategy in DQN makes use of the exploration-exploitation trade-off by randomly pick actions with the epsilon probability. Such randomness feeds back to the representation module, causing the learned user profiles unstable. To solve the problem, we propose an adversarial training strategy to guarantee the robustness of the representation module. Second, the representation module updates users' profiles in an incremental manner, requiring integrating the temporal effects of user profiles. Inspired by Long-short Term Memory (LSTM), we introduce a gated mechanism to incorporate new and old user characteristics into the user profile. In the experiment, we evaluate our proposed framework on real-world datasets. The extensive experimental results validate the superiority of our method comparing to baseline algorithms.
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Patrikakis, Ch Z., I. G. Nikolakopoulos, and A. S. Voulodimos. "Mobile user profiles for Personal Networks: The MAGNET Beyond case." International Journal of Communication Systems 23, no. 9-10 (April 6, 2010): 1289–309. http://dx.doi.org/10.1002/dac.1130.
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Ukrit, M. Ferni, B. Venkatesh, and Swetabh Suman. "Location Based Services with Location Centric Profiles." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (December 1, 2016): 3001. http://dx.doi.org/10.11591/ijece.v6i6.11111.
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<p>In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of time and location in all weather conditions anywhere on or near earth. We introduce PROFILER, a framework for constructing location centric profiles (LCPs), aggregates built over the profiles of users that have visited discrete locations. In addition to a venue centric approach, we propose a decentralized solution for computing real time LCP snapshots over the profiles of collocated users. In our System we find the corresponding location using Global Positioning and Service Provider also. This is to change the profile mode automatically and alarm notification enable automatically when you are going to reach corresponding location or Regular Location.</p>
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Ukrit, M. Ferni, B. Venkatesh, and Swetabh Suman. "Location Based Services with Location Centric Profiles." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (December 1, 2016): 3001. http://dx.doi.org/10.11591/ijece.v6i6.pp3001-3005.
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<p>In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of time and location in all weather conditions anywhere on or near earth. We introduce PROFILER, a framework for constructing location centric profiles (LCPs), aggregates built over the profiles of users that have visited discrete locations. In addition to a venue centric approach, we propose a decentralized solution for computing real time LCP snapshots over the profiles of collocated users. In our System we find the corresponding location using Global Positioning and Service Provider also. This is to change the profile mode automatically and alarm notification enable automatically when you are going to reach corresponding location or Regular Location.</p>
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Felice, Magdalena. "USER PROFILES: Uses and appropriations of mobile phones by the youth in the city of Buenos Aires." Luciérnaga-Comunicación 5, no. 9 (June 2013): 29–38. http://dx.doi.org/10.33571/revistaluciernaga.v5n9a3.
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The article presents some results of the research about the uses and appropriations of mobile phones by young people between 20 and 29 years old belonging to middle-high sectors in the city of Buenos Aires. This research was carried out between August 2011 and September 2012. In this paper we propose to acknowledge the codes of significance that actors attach to this device and we make a description of the communication field using mobile phones as topography. This way we try to build classifications and categories that will allow us to synthesize and organize information gathered throughout the investigation. Thus, we have defined four user profiles: the resistant, the pragmatists, the enthusiasts and the heavy users; the first two make up the group of the “unattached” and the last two, the group of the “fans”.
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Chen, Junpu, and Hong Xie. "An Online Learning Approach to Sequential User-Centric Selection Problems." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6231–38. http://dx.doi.org/10.1609/aaai.v36i6.20572.
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This paper proposes a new variant of multi-play MAB model, to capture important factors of the sequential user-centric selection problem arising from mobile edge computing, ridesharing applications, etc. In the proposed model, each arm is associated with discrete units of resources, each play is associate with movement costs and multiple plays can pull the same arm simultaneously. To learn the optimal action profile (an action profile prescribes the arm that each play pulls), there are two challenges: (1) the number of action profiles is large, i.e., M^K, where K and M denote the number of plays and arms respectively; (2) feedbacks on action profiles are not available, but instead feedbacks on some model parameters can be observed. To address the first challenge, we formulate a completed weighted bipartite graph to capture key factors of the offline decision problem with given model parameters. We identify the correspondence between action profiles and a special class of matchings of the graph. We also identify a dominance structure of this class of matchings. This correspondence and dominance structure enable us to design an algorithm named OffOptActPrf to locate the optimal action efficiently. To address the second challenge, we design an OnLinActPrf algorithm. We design estimators for model parameters and use these estimators to design a Quasi-UCB index for each action profile. The OnLinActPrf uses OffOptActPrf as a subroutine to select the action profile with the largest Quasi-UCB index. We conduct extensive experiments to validate the efficiency of OnLinActPrf.
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SONG, WEI, DIAN TJONDRONEGORO, and MICHAEL DOCHERTY. "EXPLORATION AND OPTIMIZATION OF USER EXPERIENCE IN VIEWING VIDEOS ON A MOBILE PHONE." International Journal of Software Engineering and Knowledge Engineering 20, no. 08 (December 2010): 1045–75. http://dx.doi.org/10.1142/s0218194010005067.
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Compared with viewing videos on PCs or TVs, mobile users have different experiences in viewing videos on a mobile phone due to different device features such as screen size and distinct usage contexts. To understand how mobile user's viewing experience is impacted, we conducted a field user study with 42 participants in two typical usage contexts using a custom-designed iPhone application. With user's acceptance of mobile video quality as the index, the study addresses four influence aspects of user experiences, including context, content type, encoding parameters and user profiles. Accompanying the quantitative method (acceptance assessment), we used a qualitative interview method to obtain a deeper understanding of a user's assessment criteria and to support the quantitative results from a user's perspective. Based on the results from data analysis, we advocate two user-driven strategies to adaptively provide an acceptable quality and to predict a good user experience, respectively. There are two main contributions from this paper. Firstly, the field user study allows a consideration of more influencing factors into the research on user experience of mobile video. And these influences are further demonstrated by user's opinions. Secondly, the proposed strategies — user-driven acceptance threshold adaptation and user experience prediction — will be valuable in mobile video delivery for optimizing user experience.
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Xu, Jia, Jin Xin Xiang, Xiang Chen, Fang Bin Liu, and Jing Jie Yu. "ODMBP: Behavior Forwarding for Multiple Property Destinations in Mobile Social Networks." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/7908328.
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The smartphones are widely available in recent years. Wireless networks and personalized mobile devices are deeply integrated and embedded in our lives. The behavior based forwarding has become a new transmission paradigm for supporting many novel applications. However, the commodities, services, and individuals usually have multiple properties of their interests and behaviors. In this paper, we profile these multiple properties and propose an Opportunistic Dissemination Protocol based on Multiple Behavior Profile, ODMBP, in mobile social networks. We first map the interest space to the behavior space and extract the multiple behavior profiles from the behavior space. Then, we propose the correlation computing model based on the principle of BM25 to calculate the correlation metric of multiple behavior profiles. The correlation metric is used to forward the message to the users who are more similar to the target in our protocol. ODMBP consists of three stages: user initialization, gradient ascent, and group spread. Through extensive simulations, we demonstrate that the proposed multiple behavior profile and correlation computing model are correct and efficient. Compared to other classical routing protocols, ODMBP can significantly improve the performance in the aspect of delivery ratio, delay, and overhead ratio.
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Dee, Timothy, Ian Richardson, and Akhilesh Tyagi. "Continuous Nonintrusive Mobile Device Soft Keyboard Biometric Authentication." Cryptography 6, no. 2 (March 23, 2022): 14. http://dx.doi.org/10.3390/cryptography6020014.
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Mobile banking, shopping, and in-app purchases utilize persistent authentication states for access to sensitive data. One-shot authentication permits access for a fixed time period. For instance, a username/password-based authentication allows a user access to all the shopping and payments data in the Amazon shopping app. Traditional user passwords and lock screens are easily compromised. Snooping attacks—observing an unsuspecting user entering passwords—and smudge attacks—examining touchscreen finger oil residue—enable compromised user authentication. Mobile device interactions provide robust human and device identity data. Such biometrics enhance authentication. In this paper, behavioral attributes during user input constitute the password. Adversary password reproduction difficulty increases since pure observation is insufficient. Current mobile continuous authentication schemes use, among others, touchscreen–swipe interactions or keyboard input timing. Many of these methods require cumbersome training or intrusive authentication. Software keyboard interactions provide a consistent biometric data stream. We develop biometric profiles using touch pressure, location, and timing. New interactions authenticate against a profile using a divergence measure. In our limited user–device data sets, the classification achieves virtually perfect accuracy.
Dissertations / Theses on the topic "Mobile User profiles"
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Mahmood, Omer. "ADAPTIVE PROFILE DRIVEN DATA CACHING AND PREFETCHING IN MOBILE ENVIRONMENT." Thesis, The University of Sydney, 2005. http://hdl.handle.net/2123/714.
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This thesis describes a new method of calculating data priority by using adaptive mobile user and device profiles which change with user location, time of the day, available networks and data access history. The profiles are used for data prefetching, selection of most suitable wireless network and cache management on the mobile device in order to optimally utilize the device's storage capacity and available bandwidth. Some of the inherent characteristics of mobile devices due to user movements are – non-persistent connection, limited bandwidth and storage capacity, changes in mobile device's geographical location and connection (eg. connection can be from GPRS to WLAN to Bluetooth). New research is being carried out in making mobile devices work more efficiently by reducing and/or eliminating their limitations. The focus of this research is to propose, evaluate and test a new user profiling technique which specifically caters to the needs of the mobile device users who are required to access large amounts of data, possibly more than the device storage capability during the course of the day or week. This work involves the development of an intelligent user profiling system along with mobile device caching system which will first allocate weight (priority) to the different sets and subsets of the total given data based on user's location, user's appointment information, user's preferences, device capabilities and available networks. Then the profile will automatically change the data weights with user movements, history of cached data access and characteristics of available networks. The Adaptive User and Device Profiles were designed to handle broad range of the issues associated with: •Changing network types and conditions •Limited storage capacity and document type support of mobile devices •Changes in user data needs due to their movements at different times of the day Many research areas have been addressed through this research but the primary focus has remained on the following four core areas. The four core areas are : selecting the most suitable wireless network; allocating weights to different datasets & subsets by integrating user's movements; previously accessed data; time of the day with user appointment information and device capabilities.
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Mahmood, Omer. "ADAPTIVE PROFILE DRIVEN DATA CACHING AND PREFETCHING IN MOBILE ENVIRONMENT." University of Sydney. Information Technologies, 2005. http://hdl.handle.net/2123/714.
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This thesis describes a new method of calculating data priority by using adaptive mobile user and device profiles which change with user location, time of the day, available networks and data access history. The profiles are used for data prefetching, selection of most suitable wireless network and cache management on the mobile device in order to optimally utilize the device�s storage capacity and available bandwidth. Some of the inherent characteristics of mobile devices due to user movements are �non-persistent connection, limited bandwidth and storage capacity, changes in mobile device�s geographical location and connection (eg. connection can be from GPRS to WLAN to Bluetooth). New research is being carried out in making mobile devices work more efficiently by reducing and/or eliminating their limitations. The focus of this research is to propose, evaluate and test a new user profiling technique which specifically caters to the needs of the mobile device users who are required to access large amounts of data, possibly more than the device storage capability during the course of the day or week. This work involves the development of an intelligent user profiling system along with mobile device caching system which will first allocate weight (priority) to the different sets and subsets of the total given data based on user�s location, user�s appointment information, user�s preferences, device capabilities and available networks. Then the profile will automatically change the data weights with user movements, history of cached data access and characteristics of available networks. The Adaptive User and Device Profiles were designed to handle broad range of the issues associated with: �Changing network types and conditions �Limited storage capacity and document type support of mobile devices �Changes in user data needs due to their movements at different times of the day Many research areas have been addressed through this research but the primary focus has remained on the following four core areas. The four core areas are : selecting the most suitable wireless network; allocating weights to different datasets & subsets by integrating user�s movements; previously accessed data; time of the day with user appointment information and device capabilities.
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Vieira, André Fonseca dos Santos Dias. "Context-aware personalization environment for mobile computing." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8649.
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Dissertação para obtenção do Grau de Mestre em
Engenharia InformáticaCurrently, we live in a world where the amount of on-line information vastly outstrips any individual’s capability to survey it. Filtering that information in order to obtain only useful and interesting information is a solution to this problem. The mobile computing area proposes to integrate computation in users’ daily activities in an unobtrusive way, in order to guarantee an improvement in their experience and quality of life. Furthermore, it is crucial to develop smaller and more intelligent devices to achieve this area’s goals, such as mobility and energy savings. This computing area reinforces the necessity to filter information towards personalization due to its humancentred paradigm. In order to attend to this personalization necessity, it is desired to have a solution that is able to learn the users preferences and needs, resulting in the generation of profiles that represent each style of interaction between a user and an application’s resources(e.g. buttons and menus). Those profiles can be obtained by using machine learning algorithms that use data derived from the user interaction with the application, combined with context data and explicit user preferences. This work proposes an environment with a generic context-aware personalization model and a machine learning module. It is provided the possibility to personalize an application, based on user profiles obtained from data, collected from implicit and explicit user interaction. Using a provided personalization API (Application Programming Interface) and other configuration modules, the environment was tested on LEY (Less energy Empowers You), a persuasive mobile-based serious game to help people understand domestic energy usage.
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Bookwala, Avinash Turab. "Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users." AUT University, 2009. http://hdl.handle.net/10292/920.
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In this thesis, we present an innovative and novel approach to personalise maps/geo-spatial services for mobile users. With the proposed map personalisation approach, only relevant data will be extracted from detailed maps/geo-spatial services on the fly, based on a user’s current location, preferences and requirements. This would result in dramatic improvements in the legibility of maps on mobile device screens, as well as significant reductions in the amount of data being transmitted; which, in turn, would reduce the download time and cost of transferring the required geo-spatial data across mobile networks. Furthermore, the proposed map personalisation approach has been implemented into a working system, based on a four-tier client server architecture, wherein fully detailed maps/services are stored on the server, and upon a user’s request personalised maps/services, extracted from the fully detailed maps/services based on the user’s current location, preferences, are sent to the user’s mobile device through mobile networks. By using open and standard system development tools, our system is open to everyday mobile devices rather than smart phones and Personal Digital Assistants (PDA) only, as is prevalent in most current map personalisation systems. The proposed map personalisation approach combines content-based information filtering and collaborative information filtering techniques into an algorithmic solution, wherein content-based information filtering is used for regular users having a user profile stored on the system, and collaborative information filtering is used for new/occasional users having no user profile stored on the system. Maps/geo-spatial services are personalised for regular users by analysing the user’s spatial feature preferences automatically collected and stored in their user profile from previous usages, whereas, map personalisation for new/occasional users is achieved through analysing the spatial feature preferences of like-minded users in the system in order to make an inference for the target user. Furthermore, with the use of association rule mining, an advanced inference technique, the spatial features retrieved for new/occasional users through collaborative filtering can be attained. The selection of spatial features through association rule mining is achieved by finding interesting and similar patterns in the spatial features most commonly retrieved by different user groups, based on their past transactions or usage sessions with the system.
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Van, Schalkwyk Liesl-Dana. "The relationship between content providers and users in mobile television / Liesl-Dana van Schalkwyk." Thesis, North-West University, 2006. http://hdl.handle.net/10394/1267.
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Mobile television ( TV ) is a relatively new and unknown field of communication. Thus, role
players in this field of communication find themselves in a new context for relationship. This
raises the question as to what the key challenges in the relationship between content providers
and users in mobile TV involve. More specifically, the following questions should be answered.
Does mobile TV display particular characteristics of new media? If so, then how could content
providers meet the challenge of understanding the user profile in mobile TV as a new medium?
Also, how could content providers meet the challenge of adapting content provision according to
the user experience of mobile TV as a new medium? This research paper explores these
questions through means of an explorative literature study of relevant sources. Firstly, it
provides a conceptual framework of mobile TV as well as an understanding of mobile TV within
the greater context of new media. Secondly, it presents a means to understand the user profile
in mobile N as a new medium. Lastly, it presents practical aspects that need to be considered
when providing content for mobile TV as a new medium. The findings of the study can be
summarised as follows: (a) Mobile TV portrays particular new media characteristics, such as,
digitalisation, interactivity, hypertext, dispersal and virtuality. (b) A market-led approach should
be employed in order to understand the user profile. (c) Mobile N content production should be
integrated into the production process with the requirement that it is of a high quality and meets
the technical and feasible limitations of the medium.Thesis (M.A. (Communication Studies))--North-West University, Potchefstroom Campus, 2007.
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Arhippainen, L. (Leena). "Studying user experience: issues and problems of mobile services:– Case ADAMOS: User experience (im)possible to catch?" Doctoral thesis, University of Oulu, 2009. http://urn.fi/urn:isbn:9789514291081.
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Abstract
User experience has become a popular term in research and industry. There has been a great attempt to study and design user experiences. This thesis gives a practical view to user experience studies and methods by reporting test settings and results of the ADAMOS case studies. The goal of the ADAMOS project was to investigate context- and action-sensitive services in terms of how users experience when the system can detect one’s location and actions, and then adjust according to this information. The aim of this thesis is to investigate problems and issues in studying user experiences of mobile services and to find out in which conditions the study of user experience is possible and meaningful.
As a contribution this thesis provides practical information for conducting user experience studies and evaluating experiences. The first contribution is a framework (U2E-Frame), which I created and improved iteratively in each test case. The framework is method-independent and it can be used for planning and conducting tests. The second contribution of the thesis is the practical view to all methods that are created, applied, presented and evaluated in this thesis. Especially during this thesis work three novel methods (Mobile Feedback, 3E-Diary and SUE methodology) have been developed and evaluated. The evaluation of the research methods illustrates that the best practice to study user experience is to use several methods together. This enables deeper understanding of user experiences. As the third contribution of this thesis I introduce a proposal of ten user experience heuristics for design and evaluation of user experiences. The aim of these heuristics is to enable designers to understand what meaning user experience has in product design. Developers can use these heuristics for designing and evaluating user experience aspects in product design.
This thesis presents the main challenges in user experience research: know what to study (comprehensive user experience), know how to study it (find appropriate methods) and know how to evaluate and design it (user experience heuristics). An answer to the research problem is that it is both possible and meaningful to study user experience when we know user experience targets, and features of the services we want to investigate, and we can use the most appropriate methods, ensure the participant’s commitment to the test and ensure analysing relationships between results collected with different methods.
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Mou, Lei. "Toward a customized privacy preservation method in mobile tourism applications." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM063.
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Le développement rapide des TIC (Information and Communication Technology) a un impact énorme à toutes les industries. Internet Mobile, Web 2.0, la technologie de positionnement sont déployées dans le monde largement, qui a initialisé la demande intérieure des nouvelles technologies dans le domaine du tourisme. En profitant de la commodité apportée par les nouvelles technologies, de plus en plus d'utilisateurs de commencer à se concentrer sur les questions de confidentialité.Comme on le sait, il y a une contradiction entre la qualité des services et la vie privée recommandés basés sur la localisation. profil de l'utilisateur détaillé et informations de localisation précises sont nécessaires pour fournir un service basé sur la localisation avec une grande efficacité et de qualité, tandis que la préservation de la vie privée exige cacher le profil et l'emplacement de l'utilisateur. De nombreuses recherches récentes vise à trouver un équilibre entre eux, pour obtenir la meilleure qualité de la LBS dans le contexte du contenu du profil de l'utilisateur et les informations de localisation moins exposée.Dans cette thèse, l'auteur a porté principalement sur la vie privée de profil de l'utilisateur mobile, qui couvre à la fois les caractéristiques personnelles et les informations de localisation.1, sur mesure modèle de confidentialité des utilisateurs considérant à la fois les qualités personnelles et la localisation spatiale et temporelle est définie pour l'utilisateur mobile.Dans cette recherche, nous avons proposé le modèle de confidentialité personnalisé pour chaque utilisateur de définir, son / sa propre signification de la vie privée. Avec ce modèle, à des fins de Voyage différents, ou même pour le temps et un autre emplacement, ils peuvent avoir des définitions différentes pour leur vie privée.2, Minimiser les données à stocker sur le serveur.Les profils sont stockés de deux façons différentes, le profil complet est stocké sur le côté client, et seules les valeurs des attributs qui sont en mesure pour les utilisateurs de partager sont stockés sur le côté serveur, ainsi minimisé les données à stocker sur le serveur.3, les niveaux personnalisés de granularité de la divulgation de l'emplacement et l'heure sont réglables pour les utilisateurs.Pour changer fréquemment des attributs tels que l'emplacement et l'heure, l'utilisateur peut les divulguer avec une granularité appropriée, afin d'obtenir le service attendu par les fournisseurs de services.Mots-clés: vie privée, l'emplacement, le profil de l'utilisateur, mobile, tourismeThe rapid development of ICT(Information and Communication Technology) brought huge impact to all industries. Mobile internet, Web 2.0, positioning technology are deployed world-widely, that initialized inner request of new technologies in the field of tourism as well. By enjoying the convenience brought by new technologies, more and more users starting to focus on privacy issues.As known, there is a contradiction between the quality of recommended location-based services and privacy. Detailed user profile and precise location information are needed for providing location-based service with high efficiency and quality, while privacy preservation requires hiding user's profile and location. Many recent researches aims to seek a balance between them, to obtain the best quality of the LBS in the context of the least exposed user profile content and location information.In this thesis, the author focused mainly on the privacy of mobile user profile, which covers both personal characteristics and location information.1, Customized user privacy model considering both personal attributes and spatial and temporal location is defined for mobile user.In this research, we proposed customized privacy model for every user to define, his/her own meaning of privacy. With this model, for different travel purpose, or even for different time and location, they can have different definitions for their privacy.2, Minimized the data to be stored on server.Profiles are stored in two different ways, complete profile is stored on the client side, and only the values of the attributes that are able for the users to share are stored on the server side, thus minimized the data to be stored on server.3, Customized levels of granularity of disclosure of location and time are adjustable for users.For frequently changing attributes such as location and time, user can disclose them with suitable granularity, in order to obtain expected service from the service providers.Keywords: privacy, location, user profile, mobile, tourism
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Madhavan, Manoj. "Vehicle classification profiles for interstates and non-interstates in West Virginia to be used for MOBILE6 modeling." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3401.
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Thesis (M.S.)--West Virginia University, 2004.Title from document title page. Document formatted into pages; contains xi, 96 p. : ill. (some col.), map. Includes abstract. Includes bibliographical references (p. 75).
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Panayi, Petros K. "Design and comparative performance evaluation of novel mobile handset antennas and their radiative effects on users." Thesis, University of South Wales, 2000. https://pure.southwales.ac.uk/en/studentthesis/design-and-comparative-performance-evaluation-of-novel-mobile-handset-antennas-and-their-radiative-effects-on-users(f084a72c-b06d-47a6-8546-8ada0844c981).html.
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The beginning of the 21 st century is characterised, among others, by the evolution in telecommunications. The rapid growth of mobile communications and the variety of applications proposed for the third generation (3G) systems require long operation time, low weight and cost for terminals, as well as improved link quality. For this reason a good efficiency and low profile antennas with low absorption losses by the user are desirable. The Planar Inverted-F Antenna (PIFA) is shown to result into low SAR values and high efficiency when operating in the proximity of the user. Despite these advantages, PIFA is also characterised by narrow bandwidth that limits its practical use. The first part of this work is dedicated to the measurements and evaluation of the radiation characteristics of the PIFA and other wire antennas both in the near and far fields. In addition, novel methods of PIFA tuning are presented. These include the repositioning of the shorting pin and modification of its capacitance. By using these techniques, the effective bandwidth of the PIFA can be increased to satisfy the GSM900 and DCS 1800 system bandwidth requirements. Dual-band and electronically tuned PIFA prototypes are also included. The effects of the handset size on the mass averaged Specific Absorption Rate (SAR), and antenna efficiency are investigated. The appropriate choice of handset can result in up to 30%-reduced peak SAR. The computed SAR values from PIFA are compared with those resulting from the use of a handset equipped with quarter wavelength monopole antenna. A new measure referred to as the 3dB SAR volume is proposed. This measure provides better understanding of the absorbed power distribution in the operator's head. Results obtained in the course of study show that low profile handset antennas, such as the PIFA, present in addition to dual resonance and low reflection losses, reduced SAR values, high efficiency and low 3dB SAR volume. Finally, SAR and 3dB SAR volume values from simulations on 5- and 10- years old child head models are compared with their equivalents for adult models from which appropriate conclusions are drawn.
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Martini, Ricardo Giuliani. "UMA ABORDAGEM PARA A PERSONALIZAÇÃO AUTOMÁTICA DE INTERFACES DE USUÁRIO PARA DISPOSITIVOS MÓVEIS EM AMBIENTES PERVASIVOS." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/5397.
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Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThe great advance in the semiconductor industry allowed a increase in the development and marketing of mobile electronic devices. With the expansion of this market, the need for new programming methods and a different view for the development of user interfaces increased. Interfaces that were used before only in desktops and relied on keyboard and mouse interaction are now used in a variety of devices, including cell phones, smartphones and tablets. Often making the use of touch screens as well as by voice commands. Taking into account these aspects of cross-platform and different usability, it becomes apparent the importance of interfaces that adapt "to the environment." With the advent of mobile devices, this particular area became of fundamental importance because this kind of devices has specifics characteristics that are essential to the composition of a satisfactory user interface. So, mobile devices are covering a large variety of features, which makes the interfaces development a very complex task. One way to develop and adapt user interfaces in order to facilitate handling and to reduce stress at the time of use of the device is through the use of user profiles and capabilities of devices. Therefore, that interface is adapted to the user needs and preferences, as well be able to fully adapt to the device features. Considering this assumption, this dissertation aims to present the architecture PIDIM. This architecture goal to assist in the customization and adaptation of user interfaces for mobile devices in pervasive environments. The user interfaces adapted for this process plans to facilitate the use of mobile devices. The proposed approach presents an architecture that uses concepts of Pervasive Computing enabling information access anytime, anyplace, and in any computing device. Besides, it represents data on the user s profile, so that adaptation of the interfaces is entirely focused on the end user. The knowledge representation about the user profile needed for PIDIM architecture modeling is done through ontologies due to the possibility of reuse of stored information. In order to validate and demonstrate the flow of operation of the proposed approach is presented a case study in the literature, which has as scenario the adaptation of user interfaces when it is in motion.
O grande avanço na indústria de semicondutores possibilitou um aumento no desenvolvimento e comercialização de dispositivos eletrônicos móveis. Juntamente com este mercado, cresceu a necessidade de novos métodos de programação e uma visão diferente para criação de interfaces. Interfaces que antes só eram utilizadas em desktops com base de interação teclado e mouse, hoje são utilizadas em diferentes tipos de dispositivos, como celulares, smartphones e tablets, seja utilizadas em telas sensíveis ao toque como também por comando de voz. Levando em conta estes aspectos de multiplataforma e diferentes usabilidades, torna-se visível a importância de interfaces que se adaptem "ao meio". Com o aparecimento dos dispositivos móveis, a área em questão passou a ser de fundamental importância, pois estes dispositivos possuem características particulares fundamentais para a composição de uma interface satisfatória ao usuário. Os dispositivos móveis estão abrangendo uma diversidade grande de características, o que torna o desenvolvimento de uma interface um processo complexo. Uma das formas de desenvolver e adaptar interfaces de usuário de forma a facilitar o manuseio e diminuir o estresse no momento da utilização do dispositivo é através do uso de perfis de usuários e capacidades de dispositivos, fazendo com que a interface se adapte às necessidades e preferências do usuário e consiga se adaptar totalmente às funcionalidades do dispositivo. Considerando isto, este trabalho tem como objetivo apresentar a arquitetura PIDIM, a fim de ajudar na personalização e adaptação de interfaces de usuário para dispositivos móveis em ambientes pervasivos. As interfaces de usuários adaptadas por este processo da arquitetura PIDIM visam facilitar a utilização de dispositivos móveis. A abordagem proposta apresenta uma arquitetura que utiliza conceitos de Computação Pervasiva possibilitando acesso à informação a qualquer hora, lugar, e dispositivo computacional, além de representar dados relativos ao perfil de usuários, para que a adaptação das interfaces seja totalmente focada no usuário final. A representação do conhecimento sobre o perfil do usuário necessário para a modelagem da arquitetura PIDIM é feita através de ontologias devido a possibilidade de reuso das informações armazenadas. A fim de validar e demonstrar o fluxo de funcionamento da abordagem proposta, é apresentado um estudo de caso, encontrado na literatura, o qual possui como cenário a adaptação de interfaces de usuários quando o mesmo se encontra em movimento.
Books on the topic "Mobile User profiles"
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Shreffler, Melanie. Profiles Of The U.S. Simultaneous Media User: Television, Online, Mobile, Print. Edited by EPM Communications Inc. New York, NY: epm, 2011.
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(Editor), Arto Vaaraniemi, ed. 3G Multimedia Network Services, Accounting, and User Profiles (Artech House Mobile Communications Series). Artech House Publishers, 2003.
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Sahay, Sundeep, T. Sundararaman, and Jørn Braa. Public Health Informatics. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198758778.001.0001.
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Rapid and unpredictable developments in health policies, technologies, disease profiles, institutional environments, and their inter-connections have significant implications on how we design, develop, implement, and use health information systems (HIS) in low and middle-income countries (LMICs). Our current systems have heightened expectations but have proven largely incapable of meeting these new challenges. Nor have they been able to effectively leverage upon the new opportunities that are emerging, such as through the cloud, big data, the proliferation of mobile devices and the Internet of Things, and also the increasing array of new open source software solutions being made available through global development communities. What is required to try and address these challenges and opportunities? This book proposes the ‘Expanded PHI’ (public health informatics) perspective as a way forward, and through the various chapters first seeks to define it, and then apply it to analyse the following key problematics facing public health informatics in the domains of research, practice, and policy: use of information; integration of systems; leveraging cloud computing and big data; design and building of institutions that facilitate; managing complexity; evolving governance mechanisms and standards; responding to the new challenges thrown up by universal health coverage and Sustainable Development Goals; and building synergies between health systems strengthening and health information strengthening efforts. In defining the scope of Expanded PHI, the field of public health informatics is first situated within an informatics context, and then within public health and finally within the context of changing global health policies. Drawing from these contextualizations, the design principles for Expanded PHI are elucidated, based primarily on a social systems perspective, where the health of populations is kept as the central purpose and a participatory and incremental nature of change as the primary strategy.
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Mendes, Kaitlynn, Jessica Ringrose, and Jessalynn Keller. Digital Feminist Activism. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190697846.001.0001.
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In recent years, feminists have turned to digital technologies and social media platforms to dialogue, network, and organize against contemporary sexism, misogyny, and rape culture. The emergence of feminist campaigns such as #MeToo, #BeenRapedNeverReported, and Everyday Sexism are part of a growing trend of digital resistances and challenges to sexism, patriarchy, and other forms of oppression. Although recent scholarship has documented the ways digital spaces are often highly creative sites where the public can learn about and intervene in rape culture, little research has explored girls’ and women’s experiences of using digital platforms to challenge misogynistic practices. This is therefore the first book-length study to interrogate how girls and women negotiate rape culture through digital platforms, including blogs, Twitter, Facebook, Tumblr, and mobile apps. Through an analysis of high-profile campaigns such as Hollaback!, Everyday Sexism, and the everyday activism of Twitter feminists, this book presents findings of over 800 pieces of digital content, and semi-structured interviews with 82 girls, women, and some men around the world, including organizers of various feminist campaigns and those who have contributed to them. As our study shows, digital feminist activism is far more complex and nuanced than one might initially expect, and a variety of digital platforms are used in a multitude of ways, for many purposes. Furthermore, although it may be technologically easy for many groups to engage in digital feminist activism, there remain emotional, mental, or practical barriers that create different experiences, and legitimate some feminist voices, perspectives, and experiences over others.
Book chapters on the topic "Mobile User profiles"
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Kleemann, Thomas, and Alex Sinner. "User Profiles and Matchmaking on Mobile Phones." In Lecture Notes in Computer Science, 135–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11963578_11.
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Panayiotou, Christoforos, and George Samaras. "Mobile User Personalization with Dynamic Profiles: Time and Activity." In On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 1295–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11915072_33.
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Kortuem, Gerd, Zary Segall, and Thaddeus G. Cowan Thompson. "Close Encounters: Supporting Mobile Collaboration through Interchange of User Profiles." In Handheld and Ubiquitous Computing, 171–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48157-5_17.
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Skillen, Kerry-Louise, Chris Nugent, Mark Donnelly, Liming Chen, and William Burns. "Using Ontologies for Managing User Profiles in Personalised Mobile Service Delivery." In Health Monitoring and Personalized Feedback using Multimedia Data, 245–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17963-6_13.
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Ichou, S., S. Hammoudi, A. Benna, and A. Meziane. "Mobile User Profile in the Context of Mobile Crowd Sensing." In Lecture Notes in Networks and Systems, 170–82. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21216-1_18.
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Liu, Wei, and Zhoujun Li. "A Method for Mobile User Profile and Reasoning." In PRICAI 2010: Trends in Artificial Intelligence, 170–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15246-7_18.
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Yan, Fan, Yunpeng Ding, and Wenzhong Li. "Mining Mobile Users’ Interests Through Cellular Network Browsing Profiles." In Wireless Algorithms, Systems, and Applications, 806–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94268-1_71.
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Quan, Daiyong, Lihuan Yin, and Yunchuan Guo. "Assessing the Disclosure of User Profile in Mobile-Aware Services." In Information Security and Cryptology, 451–67. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38898-4_26.
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Garcia-Davalos, Alexander, and Jorge Garcia-Duque. "User Profile Modelling Based on Mobile Phone Sensing and Call Logs." In Advances in Intelligent Systems and Computing, 243–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40690-5_24.
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Eichler, Gerald, and Matthias O. Will. "Profiles and Context Awareness for Mobile Users – A Middleware Approach Supporting Personal Security." In Security in Pervasive Computing, 134–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11734666_11.
Full textConference papers on the topic "Mobile User profiles"
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Yalcin, Hulya. "Extracting user profiles from mobile data." In 2017 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2017. http://dx.doi.org/10.1109/blackseacom.2017.8277701.
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Barth, Dominique, Samir Bellahsene, and Leïla Kloul. "Mobility Prediction Using Mobile User Profiles." In Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2011. http://dx.doi.org/10.1109/mascots.2011.57.
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Bartolomeo, Giovanni, Stefano Salsano, and Nicola Blefari-Melazzi. "Exploiting Access Control Information in User Profiles to Reconfigure User Equipment." In 2006 3rd Annual International Conference on Mobile and Ubiquitous Systems. IEEE, 2006. http://dx.doi.org/10.1109/mobiqw.2006.361789.
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Bartolomeo, Giovanni, Stefano Salsano, and Nicola Blefari-Melazzi. "Exploiting Access Control Information in User Profiles to Reconfigure User Equipment." In 2006 Third Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services. IEEE, 2006. http://dx.doi.org/10.1109/mobiq.2006.340458.
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Sanches, Silvio Ricardo Rodrigues, Marcio Oizumi, Claiton Oliveira, Eduardo Filgueiras Damasceno, and Antonio Carlos Sementille. "Aspects of User Profiles That Can Improve Mobile Augmented Reality Usage." In 2017 19th Symposium on Virtual and Augmented Reality (SVR). IEEE, 2017. http://dx.doi.org/10.1109/svr.2017.38.
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Pinheiro, Manuele Kirsch, Marlène Villanova-Oliver, Jérôme Gensel, Yolande Berbers, and Hervé Martin. "Personalizing Web-Based Information Systems through Context-Aware User Profiles." In 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM). IEEE, 2008. http://dx.doi.org/10.1109/ubicomm.2008.18.
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Brandão, André, Ricardo Mendes, and João P. Vilela. "Prediction of Mobile App Privacy Preferences with User Profiles via Federated Learning." In CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3508398.3511526.
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Diaz-Mora, Martin, Martin Diaz-Rodriguez, and Miguel Jimeno. "Definition and validation of an energy savings process for computers based on user behaviors and profiles." In 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2017. http://dx.doi.org/10.1109/wimob.2017.8115832.
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Valdestilhas, Andre, Ansgar Scherp, and Paulo Marcotti. "Using Semiotic Profiles to Design Graphical User Interfaces for Social Media Data Spaces on Mobile Phone Screens." In 2013 13th International Conference on Computational Science and Its Applications (ICCSA). IEEE, 2013. http://dx.doi.org/10.1109/iccsa.2013.45.
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Yilmaz, Okan, Armin Janß, and Klaus Radermacher. "Applying User Interface Profiles to Ensure Safe Remote Control within the Open Networked Operating Room in accordance with ISO IEEE 11073 SDC." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002094.
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The ISO IEEE 11073 SDC Standard family enables manufacturer independent device connectivity and therefore interoperability in the OR and hospital. Supplementary standards like the Devices Specializations (IEEE 11073-107XX) describe how medical devices present themselves in the network and the requirements other network participants must comply with in order to interact in the sense of a plug-and-play approach. However, these device models and requirements do not include information about Human Machine Interaction (HMI) characteristics like visualization, control types or any other user interface related specifications and guidelines, which are necessary to create a safe and usable remote user interface. This will be relevant for central or mobile OR/ICU cockpits/units. Additional device-based UI specifications and rules are necessary for medical device manufacturers and clinical operators to allow safe and usable remote interfaces, and future-proof plug-and-play solutions.The question of liability in the operation of openly networked medical devices is of course an interesting and important aspect for medical device manufacturers. Here, on the one hand, technical interoperability and, on the other hand, safe HMI in the combined use of medical devices must be guaranteed.A systematic approach to create a safe and usable UI in open networked ORs by providing UI requirements to the network participants within a SDC complemental UI standard (e.g., in DevSpecs or KeyPurposes) would greatly facilitate the conformity assessment process for manufacturers, especially for the controlling network participant (SDC service Consumer), who needs to perform a comprehensive usability evaluation and human-induced risk analysis in a new context of use.The Chair of Medical Engineering (mediTEC) at RWTH Aachen University has addressed these issues and has developed a methodological approach to create a specific User Interface Profile for each medical device type and corresponding HMI design rules, considering risk- and process-related requirements for medical device functions and for input and output devices. This approach defines a set of rules, requirements, and specifications regarding Human Machine Interactions a network subscriber must fulfill to display or operate device properties.The User Interface Profile contains among other things: a list of device properties, grouping information, additional applicable standards, user profile, input and output devices that are suitable and/or required from a risk analysis point of view, screen parameters according to DIN 6868-157 and speaker parameters. In addition, for every device property the following properties must be defined: visibility level, elementary task, criticality, and necessary labeling information.These initial implementations have been integrated and validated by a representative user group (neurosurgeons, orthopedic surgeons and ENT surgeons of the University Clinic RWTH Aachen) within a surgical SDC workstation as a part of a surgical SDC demonstrator (Yilmaz et al. 2020). Looking ahead, parts of the User Interface Profiles will be applied and implemented into the ISO IEEE P11073-10721 draft (using the example of high frequency cutting devices) in collaboration with the leading enterprises in Germany.
Reports on the topic "Mobile User profiles"
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Agarwal, Smisha, Madhu Jalan, Holly C. Wilcox, Ritu Sharma, Rachel Hill, Emily Pantalone, Johannes Thrul, Jacob C. Rainey, and Karen A. Robinson. Evaluation of Mental Health Mobile Applications. Agency for Healthcare Research and Quality (AHRQ), May 2022. http://dx.doi.org/10.23970/ahrqepctb41.
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Background. Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. Purpose. This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and are intended for use by providers and patients/caregivers. Methods. We reviewed systematic reviews of mental health apps and reviewed published and gray literature on mental health app frameworks, and we conducted four Key Informant group discussions to identify gaps in existing mental health frameworks and key framework criteria. These reviews and discussions informed the development of a draft framework to assess mental health apps. Iterative testing and refinement of the framework was done in seven successive rounds through double application of the framework to a total of 45 apps. Items in the framework with an interrater reliability under 90 percent were discussed among the evaluation team for revisions of the framework or guidance. Findings. Our review of the existing frameworks identified gaps in the assessment of risks that users may face from apps, such as privacy and security disclosures and regulatory safeguards to protect the users. Key Informant discussions identified priority criteria to include in the framework, including safety and efficacy of mental health apps. We developed the Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness and it comprises three sections: Section 1. Risks and Mitigation Strategies, assesses the integrity and risk profile of the app; Section 2. Function, focuses on descriptive aspects related to accessibility, costs, organizational credibility, evidence and clinical foundation, privacy/security, usability, functions for remote monitoring of the user, access to crisis services, and artificial intelligence (AI); and Section 3. Mental Health App Features, focuses on specific mental health app features, such as journaling and mood tracking. Conclusion. FASTER may be used to help appraise and select mental health mobile apps. Future application, testing, and refinements may be required to determine the framework’s suitability and reliability across multiple mental health conditions, as well as to account for the rapidly expanding applications of AI, gamification, and other new technology approaches.
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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.
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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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Mader, Philip, Maren Duvendack, Adrienne Lees, Aurelie Larquemin, and Keir Macdonald. Enablers, Barriers and Impacts of Digital Financial Services: Insights from an Evidence Gap Map and Implications for Taxation. Institute of Development Studies, June 2022. http://dx.doi.org/10.19088/ictd.2022.008.
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Digital financial services (DFS) have expanded rapidly over the last decade, particularly in sub-Saharan Africa. They have been accompanied by claims that they can alleviate poverty, empower women, help businesses grow, and improve macroeconomic outcomes and government effectiveness. As they have become more widespread, some controversy has arisen as governments have identified DFS revenues and profits as potential sources of tax revenue. Evidence-based policy in relation to taxing DFS requires an understanding of the enablers and barriers (preconditions) of DFS, as well as the impacts of DFS. This report aims to present insights from an Evidence Gap Map (EGM) on the enablers and barriers, and subsequent impacts, of DFS, including any research related to taxation. An EGM serves to clearly identify the gaps in the evidence base in a visually intuitive way, allowing researchers to address these gaps. This can help to shape future research agendas. Our EGM draws on elements from the systematic review methodology. We develop a transparent set of inclusion criteria and comprehensive search strategy to identify relevant studies, and assess the confidence we can place in their causal findings. An extensive search initially identified 389 studies, 205 of which met the inclusion criteria and were assessed based on criteria of cogency, transparency and credibility. We categorised 40 studies as high confidence, 97 as medium confidence, and 68 as low confidence. We find that the evidence base is still relatively thin, but growing rapidly. The high-confidence evidence base is dominated by quantitative approaches, especially experimental study designs. The geographical focus of many studies is East Africa. The dominant DFS intervention studied is mobile money. The majority of studies focus on DFS usage for payments and transfers; fewer studies focus on savings, very few on credit, and none on insurance. The strongest evidence base on enablers and barriers relates to how user attributes and industry structure affect DFS. Little is known about how policy and politics, including taxation, and macroeconomic and social factors, affect DFS. The evidence base on impacts is strongest at the individual and household level, and partly covers the business level. The impact of DFS on the macroeconomy, and the meso level of industry and government, is very limited. We find no high-confidence evidence on the role of taxation. We need more higher quality evidence on a variety of topics. This should particularly look at enablers, constraints and impacts, including the role of taxation, beyond the individual and household level. Research going forward should cover more geographic areas and a wider range of purposes DFS can serve (use cases), including savings, and particularly credit. More methodological variety should be encouraged – experiments can be useful, but are not the best method for all research questions.