MobiAct: Supporting Personalized Interaction with Mobile Context-aware Applications Adrian Stoica and Nikolaos Avouris University of Patras, Department of Electrical and Computer Engineering, Human Computer Interaction Group, Eratosthenous Street, 26500 Rio-Patras, Greece {stoica,avouris}@upatras.gr Abstract 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 archi- tecture has been designed and several of its parts have been implemented. We dis- cuss the implications and the support that this architecture provides for personal- ization of interaction. The architecture supports high interoperability and flexibility, with capability of tackling issues like privacy and degree of user con- trol. 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. 1 Introduction People need to access information and resources where and when they are per- forming their activities to achieve the multitude of daily tasks in a satisfactory manner. Today mobile devices are used widely to provide access to information and services associated with tangible objects through various technologies (RFID tags, two dimensional optical codes, Bluetooth etc.). As a result, an increasing number of context aware applications exist in public environments which provide various services and information to the public when and where they are needed. Many institutions that have responsibility for places of public interest (libraries [1], museums [2], showrooms [5], schools [4], supermarkets [6] etc.) introduce in their environments extensions for mobile applications to harness the new potential technology brings. The physical space owned by these institutions is gradually en- riched by and interweaved with a digital information space. Users (visitors, cli- ents, readers etc) need to interact with both spaces to fully benefit of all offered Please use the following format when citing this chapter: Stoica, A. and Avouris, N., 2009, in IFIP International Federation for Information Processing, Volume 296; Artificial Intelligence Applications and Innovations III; Eds. Iliadis, L., Vlahavas, I., Bramer, M.; (Boston: Springer), pp. 389–397.