MobiSoft: Networked Personal Assistants for Mobile Users in Everyday Life

Erfurth, Christian; Kern, Steffen; Rossak, Wilhelm; Braun, Peter; Leßmann, Antje

doi:10.1007/978-3-540-85834-8_13

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Within MobiSoft project [9], Erfurth et al investigate the application of social-mobile software agents as personalized assistants on mobile devices to find human partners in close proximity with same interest. Pernek et al [32] introduce SocioNet, a context-aware rule based system for mobile devices and consider performance, privacy and usability issues to find best matching persons in proximity.…”

Section: Social Applicationsmentioning

confidence: 99%

“…However, there has been very limited effort in modeling social contexts to support social interactions. Similarly, there has also been extensive research in personal digital assistants (e.g., [7], [8]), social-mobile applications (e.g., [9], [10]) and multiagent systems (e.g., [11], [12]), but very limited work has focused on social awareness. In particular, none of the work explicitly addresses modeling social interactions with coordination functionality to resolve task conflicts.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Coordinating Social Interactions in Pervasive Environments

Kabir

Han

Colman

2011

2011 16th IEEE International Conference on Engineering of Complex Computer Systems

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Abstract-The convergence of Internet and mobile devices has radically changed the way people communicate and interact with each other, and demand for applications that are "social" enough to assist their daily interactions. To support such device mediated interactions, the social relationships between actors need to be systematically modeled and represented. In addition, an application facilitating such interactions should be able to deal with the task conflicts that occur when an actor is involved in multiple interactions simultaneously. To address these issues, in this paper we present an approach to modeling and coordinating social interactions with the notion of social context. It supports social interaction modeling from both the domain-and player-centric perspectives. In particular, the player-centric model provides the basis to coordinate multiple interactions in which an actor is involved. We further introduce a fuzzy logic based reasoning technique to infer the overall importance of each interaction, assisting the actor to resolve conflicts and make decisions. Finally, we validate our approach through a prototype implementation and test cases analysis.

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Section: Social Applicationsmentioning

confidence: 99%