Intelligent

2012

Ubiquitous display environments are public places with various situated public displays. These displays are intended to provide relevant information to people in their vicinity, where this may include the regular inhabitants of the space as well as visitors. For this latter group, it is particularly challenging to provide relevant information. This is because personalization relies on the availability of information about the individual (or group). Ubiquitous user modeling research tries to address this challenge.

Multi Dimensional Personalisation (MDP) is based on the location, the interest and the location of the user. Recommendations of online content as well as offline events shall be offered to the user. At the right time, at the right place the right information or service will be offered. Instead of having to request this information this new service concept would proactively provide the information and services. MDP depends on a loosely coupled communication between the mobile device client and the MDP / server. In this paper the communication paths between the mobile MDP client and the MDP server are described. In addition an architecture proposal for the implementation of a MDP prototype is presented. This prototype implementation has to cover the user requirements of protecting the privacy and at the same time allowing the openness to deal with information / service providers. In addition it can be used to evaluate the feasibility of the proposed MDP architecture.

As communication technologies are becoming more and more advanced, the opportunities to deliver improved, user friendly services using these technologies are increasing. One of the possible ways to improve the services is to enable personalisation. However, to enable personalisation it is not sufficient to consider the service on its own as it has been the case until now. It is necessary to consider personalisation as a higher-layer function, which should span different services, be it different service instances or different service implementations. Personalisation should also span different terminal platforms and different network technologies. It is therefore appropriate to consider personalisation as a function in the higher-layers of the service platforms, above or integrated with the existing middleware. This paper provides a precise definition of personalisation and clarifies how it will be possible to build advanced mobile services in the future which make extensive use of the personalisation function to improve the perceived value and quality of these services.

ACM International Conference Proceeding Series, 2004

In this demonstration, we will show a context-aware information system intended for mobile users. The demonstration involves special-purpose hardware devices, called 'context tags', which can work with mobile devices such as mobile phones, to provide ambient information to users on the move. Key to the framework is special support for content service providers, through software that allows existing content to be delivered seamlessly to mobile devices, as and when it is needed by users. The demonstration will show how these components work together to provide an effective ambient information system for mobile users.

2010

Mobile and pervasive computing technologies have become an integral part of everyday life and have changed the way people interact with information. The rapidly growing amount of information and services raises the need for user modeling and personalization in pervasive and ubiquitous environments.

Ubiquitous Intelligence and Computing, 2014 IEEE 11th Intl Conf on and IEEE 11th Intl Conf on and Autonomic and Trusted Computing, and IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UTC-ATC-ScalCom)

Ubiquitous computing is strongly centered on the human, aiming to provide the right information through personalized interfaces and services in context of use to the applications users. We envision a ubiquitous computing based world in which a generic personalization model is applied to different applications, even if from different domains. The model is the core of a cloud-based platform, which guides developers by providing services to help them in the implementation of personalized solutions. Moreover, end-users will be less bothered when starting to use a new application, which already might know something about them in order to automatically adapt itself to the users' preferences and needs. A user's interactions with an application A might be useful to know how to personalize her experience when interacting with an application B. This paper presents the X-Users based solution in order to reach that vision, giving special attention to the personalization modeling. Important contributions of the paper are also two case studies that illustrate how X-Users can be used to help personalizing systems.

2005

This paper describes research into the personalised delivery of information about an intelligent environment. The challenges we need to address are the dual forms of the Invisibility Problem. Both follow from the fact that the sensors and services in an intelligent environment are intended to be invisible, blending into the environment naturally. We describe the elements of the Invisibility Problem in relation to our previous work on one such intelligent environment, MyPlace, and present an initial user study (N=17) which will inform the design of the personalisation that should be done to enable users to eectively negotiate and control an intelligent environment. This user study nds that trust is a critical aspect of intelligent environment design, and eective user feedback and the management of information ow across physical, social and temporal borders is essential to maintain user trust in an intelligent environment. This study identied that users could readily understand the invisibility problem, and are willing to share personal information to recieve a tangible benet in the form of the personalisation of an intelligent environment's services.

Lecture Notes in Computer Science, 2004

This paper is concerned with the development of a MultiAgent System (MAS) supporting ubiquitous and personalized interaction with Active Environments. In particular, we propose a system in which a user may delegate her own agent to interact with the environment modeled as a set of agents providing services of different kind. In order to test the system, we implemented a smart to do list in which user can list what she intends to do. According to its content and to the current context situation, the user's personal agent decides to remind tasks or to proactively help the user in performing them.

When travelling people might seek for help or any sorts of information. For example, travelers might need suggestions about accommodation, transportation, activities, food, etc. while they are travelling. Moreover, they expect to get suggestions which are personalized according to some specific criteria such as preferences, age, location, etc. This paper sketches a framework named Context-Aware Recommender for Mobile Users that is responsible for providing users with personalized recommendations in order to deliver them the right service to the right user at the right time with the respect of their privacy.