Analyse des mécanismes de découverte de services avec prise en charge du contexte et de l'intention

National audienceAvec la démocratisation des dispositifs et des réseaux mobiles, les systèmes d'information deviennent pervasifs. Les utilisateurs de ces systèmes doivent désormais évoluer dans de véritables espaces de services, dans lesquels plusieurs services sont offerts. Afin d'améliorer la transparence des systèmes d'information pervasifs, nous proposons une nouvelle approche pour ces systèmes, à la fois sensible au contexte et intentionnelle. Dans cette approche, les services offerts par ces systèmes sont proposés afin de satisfaire à une intention, laquelle correspond à l'expression d'un but utilisateur, dans un contexte donné. Pour valider cette approche, nous développons actuellement une plate-forme de découverte de services basée sur une extension de OWL-S qui intègre ces notions. Grâce à des résultats expérimentaux, nous analysons l'impact de l'usage de ces notions de contexte et d'intention dans la sélection de services et démontrons l'intérêt de notre approche dans la découverte des services

Intention Prediction Mechanism In An Intentional Pervasive Information System

International audienceNowadays, the development of pervasive technologies has allowed the improvement of services availability. These services, offered by information systems (IS), are becoming more pervasive, i.e., accessed anytime, anywhere. However, those pervasive information systems (PIS) remain too complex for the user, who just wants a service satisfying his needs. This complexity requires considerable efforts from the user in order to select the most appropriate service. Thus, an important challenge in PIS is to reduce user's understanding effort. In this chapter, we propose to enhance PIS transparency and productivity through a user-centred vision based on an intentional approach. We propose an intention prediction approach. This approach allows anticipating user's future requirements, offering the most suitable service in a transparent and discrete way. This intention prediction approach is guided by the user's context. It is based on the analysis of the user's previous situations in order to learn user's behaviour in a dynamic environment

Patterns of Meaningful and Meaningless Smartphone Use:A Diary Study

Smartphones are highly popular, addictive everyday items which have raised concerns about over-dependency. This has led to a wealth of research on smartphone overuse albeit exploration of how habitual or phone overuse contrasts with purposeful or more meaningful use has been limited. To address this gap, this paper reports a one week diary study with 20 users. Findings highlight the distinction between pragmatic and eudemonic activities supporting meaningful use, and of hedonic activities associated with habitual use. We suggest a more nuanced conversation of habitual and meaning smartphone use. We conclude with two design implications including support for pragmatic experiences augmented with hedonic content and support for meaningful use rather than limiting meaningless use