Abstract
An important research topic in artificial intelligence is automatic sensing and inferencing of contextual information, which is used to build computer models of the user's activity. One approach to building such activity-aware systems is the notion of activity-based computing (ABC). ABC is a computing paradigm that has been applied in personal information-management applications as well as in ubiquitous, multidevice, and interactive surface computing. ABC has emerged as a response to the traditional application-and file-centered computing paradigm, which is oblivious to a notion of a user's activity spanning heterogeneous devices, multiple applications, services, and information sources. In this article, we present ABC as an approach to contex-tualize information, and present our research into designing activity-based computing technologies.
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CITATION STYLE
Bardram, J. E., Jeuris, S., & Houben, S. (2015). Activity-based computing: Computational management of activities reflecting human intention. In AI Magazine (Vol. 36, pp. 63–72). AI Access Foundation. https://doi.org/10.1609/aimag.v36i2.2585
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