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Activity‐Based Computing: Computational Management of Activities Refecting Human Intention
Author(s) -
Bardram Jakob E.,
Jeuris Steven,
Houben Steven
Publication year - 2015
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v36i2.2585
Subject(s) - computer science , ubiquitous computing , human–computer interaction , ambient intelligence , interactive computing , end user computing , urban computing , human centered computing , data science , world wide web , artificial intelligence , utility computing , cloud computing , information science , operating system , library science , cloud computing security
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 contextualize information, and present our research into designing activity‐based computing technologies.

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