Dissertations / Theses on the topic 'Mobile User profiles'

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.

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.

Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>Currently, 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.

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.

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.<br>Thesis (M.A. (Communication Studies))--North-West University, Potchefstroom Campus, 2007.

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.

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, tourisme<br>The 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

Thesis (M.S.)--West Virginia University, 2004.<br>Title from document title page. Document formatted into pages; contains xi, 96 p. : ill. (some col.), map. Includes abstract. Includes bibliographical references (p. 75).

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.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The 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.<br>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.

Submitted by Mariana Dornelles Vargas (marianadv) on 2015-05-07T17:43:24Z No. of bitstreams: 1 Diógenes Bonfanti dos Santos.pdf: 1146572 bytes, checksum: e43f11e0a84818317b80281577aaa1a0 (MD5)<br>Made available in DSpace on 2015-05-07T17:43:24Z (GMT). No. of bitstreams: 1 Diógenes Bonfanti dos Santos.pdf: 1146572 bytes, checksum: e43f11e0a84818317b80281577aaa1a0 (MD5) Previous issue date: 2010-08-31<br>Nenhuma<br>Este estudo foi realizado com objetivo de analisar o caso de adoção de serviços bancários móveis (mobile banking ou m-banking) e o perfil dos clientes que utilizam esse serviço em um banco no contexto brasileiro, o Banco do Estado do Rio Grande do Sul (Banrisul). A pesquisa foi realizada por meio de um estudo de caso único no Banrisul, no qual foram realizadas entrevistas e análise de dados secundários. Foram pesquisadas as características de 628 usuários de mobile banking do banco pesquisado, contemplando-se 7046 acessos a esse serviço. A pesquisa utilizou como principal referencial teórico a Teoria de Difusão da Inovação (TDI) de Rogers (2003). Por meio da análise de dados foi possível identificar hábitos e características relacionadas ao comportamento dos usuários dos serviços de m-banking. O perfil do usuário de m-banking Banrisul encontrado foi: em geral é do gênero masculino, solteiro, possui curso superior, idade média de 33 anos (idades entre 26 a 35 anos), com renda mensal entre R$ 2.000,00 a R$ 3.000,00 Reais. Os principais serviços utilizados são: extrato de conta corrente (65,2%), saldo de conta corrente (30,4%) e transferências entre contas (2,6%), totalizando 98,2% dos serviços utilizados no período estudado. O conhecimento desses dados é importante, pois os usuários analisados podem ser considerados como os usuários inovadores ou adotantes iniciais de acordo com a TDI. O conhecimento de seu perfil e hábitos de acesso é útil para planejar ações futuras relacionadas à difusão do mobile banking na instituição pesquisada. O conhecimento do caso também é útil a outras instituições e pesquisadores interessados em práticas de mobile banking.<br>This study was conducted to analyze the case of adoption of mobile banking (mobile banking or m-banking) and the profile of customers who use this service on a bench in the Brazilian context, the Banco do Estado do Rio Grande do Sul (Banrisul). The survey was conducted through a single case study in Banrisul, in which there were interviews and secondary data analysis. We investigated the characteristics of 628 users of mobile banking bank researched, covering 7046 to access this service. The survey used as the main theoretical Theory of Diffusion of Innovation (TDI) of Rogers (2003). Through data analysis it was possible to identify the habits and characteristics related to the behavior of users of m-banking services. The user profile of m-banking Banrisul was found: in general is male, single, have college degrees, average age 33 years (ranging from 26 to 35 years), with monthly income between R $ 2,000.00 R $ 3,000.00 reais. The main services used are: current account statement (65.2%), current account balance (30.4%) and transfers between accounts (2.6%), totaling 98.2% of services used during the study period. Knowledge of these data is important, because users were analyzed can be considered as innovative users or early adopters according to TDI. Knowing your profile and habits of access is useful for planning future actions related to the diffusion of mobile banking in this institution. The knowledge of the case is also useful to other institutions and researchers interested in mobile banking practices.

碩士<br>國立東華大學<br>資訊工程學系<br>88<br>The research of mobile computing had preliminary results. Take mobile phone integrated with WAP for example, the technique now become practical. However, the bandwidth in the wireless network is still a restriction to information services. Users’ movement cause disconnection, also make the problem more complicated. Prefetching is a practical and useful technique for hiding the latency of slow wireless link in accessing Web documents. Traditional prefetching techniques rely on past access history to predict future access pattern. These techniques fail to handle new documents effectively. We propose a semantic-based technique which employs client side user profiles, server side document structure, and collective user access patterns for document prefetching. We identify user groups at server side via document structure analysis and access patterns clustering. A profile represents the corresponding user's current interests. Profiles are updated dynamically by monitoring user browsing behavior. By classifying clients into different user groups based on user profiles, we generate server hints for effective client side prefetching. According to the prefetch algorithm, we also implemented a prefetch system. The experiment result shown that prefetch ratio can be 30% or higher. We also found that access log can not record users’ access completely because of the mechanism of browsers’ cache. The more information the access log recorded, the higher the prefetch ratio.

碩士<br>國立中山大學<br>電機工程學系研究所<br>90<br>With the development of mobile devices, people can execute many applications on their personal devices at any time and in any place. However, many limitations of the mobile devices, e.g., CPU, memory, power supply, etc., make them impossible to be completely the same as the desktop PCs. In this paper we present an integrated management architecture for thin-client purpose called Agent and Profile Management System (APMS). The users of mobile devices can use the services from various service providers via this system. On the other hand, the centralized management of service agents provided by the service providers is employed in this system. The users only need to download a simple service agent to their mobile device and install it, then the service agent will connect to the homologous service provider, send an XML-RPC request by “POST” to the back-end server. After receiving the XML-RPC request, the back-end server executes appropriate processes and returns an XML-RPC response to the mobile device. Most of the procedures are accomplished on the server side that has powerful CPU and large amount of memory. Therefore, the loading of mobile devices is relatively low and the cost of mobile devices can be effectively reduced.

碩士<br>國立交通大學<br>資訊科學與工程研究所<br>102<br>Recently, mobile social networks (MSNs) have been widely discussed due to the rapid growth of smart mobile devices. This work focuses on mobile D2D social networks (MDSNs), where users in an MSN are physical neighbors. An important social application of MDSNs is common profile matching (CPM), which refers to the scenario where a group of smartphone users meet in a small region (such as a ball room) and these users are interested in identifying the common attributes among them from their personal profiles efficiently via short-range (such as D2D) communications. For example, a group of strangers may want to find common hobbies, friends, or countries they visited before, and a group of students may want to know the common courses they have ever taken. Assuming that users in an MDSN form a fully connected network, we formulate three versions, namely all -common, β-common, and top-γ-popular, of the CPM problem. The first problem is an extension of an earlier work, while the latter two problems are newly defined. We present solutions based on the basic and the iterative Bloom filters. Evaluation results show that our mechanisms are quite communication-efficient.

Tese de doutoramento do Programa Doutoral em Líderes para as Indústrias Tecnológicas (Programa MIT-Portugal - Área EDAM)<br>The current Thesis proposes the conceptual aspects and the preliminary prototype of a mobile information system to support information integration and manipulation towards the Electric Vehicle (EV) introduction, and the support of mobility process in urban environments, giving recommendations to drivers about EV range autonomy, charging stations, electricity market, and also as route planner taking into account public transportation, car or bike sharing systems. The main work objective is the creation of an Information and Communication Technology (ICT) platform based on successful approaches developed in the Computer Science Area, recommender systems, cooperative systems and mobile devices, to help the driver of EV by giving real time information related with EV charging process, range autonomy, electricity market participation, and also smart mobility process in cities by giving guidance towards best route options, taking into account time travel and CO2 emissions. Based on the analysis of the problem a conceptual system and a prototype application were created under the designation “Mobi-System”, designed to mobile devices, with relevant information oriented to: (1) EV charging process; (2) EV range autonomy; (3) electricity market participation; and (4) mobility process in smart cities of the future. In this work it was developed an application to store data related with EV charging/discharging process, for further intelligent analysis and remote interaction with the charging system, determining a smart charging procedure, taking into account the distribution electrical system limitations, and the creation of communities with participation in the electricity market. A range estimation and representation process is introduced as part of the help process to assist EV drivers. An Aggregator system and a collaborative broker for distributed energy sources are proposed, taking into account the electricity market. A proposal for data integration of different transportation sources and a multimodal best route path are proposed based on CO2 emissions and time travel.<br>O presente trabalho consiste na concepção e discussão do sistema Mobi-System, que disponibiliza informação relevante para condutores de veículos elétricos (VE), tendo em conta os problemas dos carregamentos dos VE, a gestão da ansiedade de autonomia (range anxiety) dos condutores, a participação no mercado de energia elétrica, a integração das fontes de energia renováveis, bem como a integração de informação de transportes públicos e a criação de sistemas para gerir o problema da mobilidade sustentável em cidades inteligentes (smart cities). O objectivo principal do trabalho é o uso apropriado de Tecnologia da Informação e Comunicação (TIC) baseada em abordagens bem-sucedidas desenvolvidas na área da informática, como os sistemas de recomendação, sistemas cooperativos e dispositivos móveis para ajudar o condutor de VE, dando informações relevantes em tempo real, orientando o condutor para os pontos de carregamento públicos, ou para o melhor caminho tendo em conta o tempo e as políticas ambientais, nomeadamente as emissões de CO2. Com base na análise do problema, um sistema conceitual e uma aplicação protótipo foram criadas sob a designação de Mobi-System, projetada para dispositivos móveis com informações relevantes orientadas a: (1) processo de carregamento do VE feito num local público com a orientação e a reserva de slots de carregamento, ou em casa com a programação do processo de carregamento lento, tendo em conta limitações de potência; (2) gestão assistida da autonomia dos VE; (3) participação no mercado de energia, pela criação de comunidades de condutores com capacidade de participar no mercado de energia, dado o VE poder atuar como um armazenador de energia; e (4) processo de mobilidade em cidades inteligentes do futuro, com a proposta de integração de dados de diferentes tipos de transporte, com indicação do trajeto de melhor rota multimodal, proposto com base nas emissões de CO2 e no tempo das viagens.