Home > Research > Publications & Outputs > Activity-based computing

Links

Text available via DOI:

View graph of relations

Activity-based computing: computational management of activities reflecting human intention

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Activity-based computing: computational management of activities reflecting human intention. / Bardram, Jakob E.; Jeuris, Steven; Houben, Steven.
In: Ai Magazine, Vol. 36, No. 2, 2015, p. 63-72.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Bardram JE, Jeuris S, Houben S. Activity-based computing: computational management of activities reflecting human intention. Ai Magazine. 2015;36(2):63-72. doi: 10.1609/AIMAG.V36I2.2585

Author

Bardram, Jakob E. ; Jeuris, Steven ; Houben, Steven. / Activity-based computing : computational management of activities reflecting human intention. In: Ai Magazine. 2015 ; Vol. 36, No. 2. pp. 63-72.

Bibtex

@article{64c65a4921d0472c9b480fa86c5c749e,
title = "Activity-based computing: computational management of activities reflecting human intention",
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{\textquoteright}s activity. One approach to build 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{\textquoteright}s activity context 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-centric computing technologies.",
author = "Bardram, {Jakob E.} and Steven Jeuris and Steven Houben",
note = "Copyright {\textcopyright} 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.",
year = "2015",
doi = "10.1609/AIMAG.V36I2.2585",
language = "English",
volume = "36",
pages = "63--72",
journal = "Ai Magazine",
issn = "0738-4602",
publisher = "AMER ASSOC ARTIFICIAL INTELL",
number = "2",

}

RIS

TY - JOUR

T1 - Activity-based computing

T2 - computational management of activities reflecting human intention

AU - Bardram, Jakob E.

AU - Jeuris, Steven

AU - Houben, Steven

N1 - Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

PY - 2015

Y1 - 2015

N2 - 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 build 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 context 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-centric computing technologies.

AB - 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 build 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 context 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-centric computing technologies.

U2 - 10.1609/AIMAG.V36I2.2585

DO - 10.1609/AIMAG.V36I2.2585

M3 - Journal article

VL - 36

SP - 63

EP - 72

JO - Ai Magazine

JF - Ai Magazine

SN - 0738-4602

IS - 2

ER -