MobiAct: supporting personalized interaction with mobile context-aware applications
[c141] Stoica, A., & Avouris, N. (2009). MobiAct: Supporting Personalized Interaction with Mobile Context-aware Applications. In L. Iliadis, I. Vlahavas, & M. Bramer (Eds.), Artificial Intelligence Applications and Innovations III, IFIP Advances in Information and Communication Technology (Vol. 296, pp. 389-397). Boston: Springer. (early pdf draft)

In this paper we present a conceptual framework for interaction with mobile context aware applications. The framework focuses especially on public and semi-public environments. Based on this framework a generic abstract architecture has been designed and several of its parts have been implemented. We discuss the implications and the support that this architecture provides for personalization of interaction. The architecture supports high interoperability and flexibility, with capability of tackling issues like privacy and degree of user control. The framework has been tested in typical spaces: a library and a museum. The paper concludes with a set of examples of use of the defined framework that cover typical situations for intra-space and across spaces usage.

mobile applications, personalization, user models, privacy.

Computer-supported collaborative learning has been an active area of research since the beginning for the HCI group more>>

Web usability team of the HCI Group has been active in studying human-web interaction and ways to support the design of accessible, findable, usable and aesthetically appealing web sites. more>>

Mobile Technology Unit of the HCI Group has been studying design and evaluation of mobile applicationss more>>

Hci Group | Electrical and Computer Engineering | University of Patras