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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7795

Title: Task-based prediction of interaction patterns for ambient intelligence environments
Authors: VERPOORTEN, Kristof
LUYTEN, Kris
CONINX, Karin
Issue Date: 2007
Publisher: SPRINGER-VERLAG BERLIN
Citation: HUMAN-COMPUTER INTERACTION, PT 1, PROCEEDINGS - INTERACTION DESIGN AND USABILITY. p. 1216-1225
Series/Report: LECTURE NOTES IN COMPUTER SCIENCE, 4550
Abstract: In this paper we introduce a monitoring system to support the user executing tasks in an ambient intelligence environment. In contrast with traditional environments, the goal of the user can not always be defined beforehand, but is determined while the user interacts with the environment. The monitor observes the user's activities and learns to correlate a set of user actions with a goal. The system maps activities to a task model and reuses these models to take appropriate actions in later similar user actions that are observed.
Notes: Hasselt Univ, Expertise Ctr Dig Media, Diepenbeek, B-3590 Belgium.
URI: http://hdl.handle.net/1942/7795
DOI: 10.1007/978-3-540-73105-4_132
ISI #: 000248043000132
ISBN: 978-3-540-73104-7
ISSN: 0302-9743
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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