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Toward an Activity Theory Based Model of Spatio-Temporal Interactions - Integrating Situational Inference and Dynamic (Sensor) Control
Spatial Cognition Research Center (SFB/TR 8), University of Bremen, Bremen, Germany.
Örebro University, School of Science and Technology. Spatial Cognition Research Center (SFB/TR 8), University of Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
2012 (English)In: STAIRS 2012: Proceedings of the Sixth Starting AI Reasearchers' Symposium / [ed] Kristian Kersting and Marc Toussaint, IOS Press , 2012, Vol. 241, p. 318-329Conference paper, Published paper (Refereed)
Abstract [en]

Spatial assistance systems designed to empower people in smart environments need to perceive their operational environment, recognize activities performed in the environment, and reason about the observed information in order to plan a course of action. Activities performed by humans are spatio-temporal interactions between a subject, objects, and the (potential) group-based context in which they are performed. Activities mediate and develop space and manifest in spatio-temporal interactions of humans with the environment and the artefacts within.

We propose a human-centred activity-theoretic model for the description of activities by their motives and goals. The model itself is grounded with respect to the spatio-temporal interactional characteristics of the activities being modelled. This description serves as a first step towards bridging the gap between sensor readings and high-level reasoning about space, actions, and change within a logic-based commonsense reasoning framework. To illustrate our ideas we introduce a work-in-progress smart meeting scenario, an overarching scenario that provides a developmental basis for the ongoing doctoral research described in this contribution.

Place, publisher, year, edition, pages
IOS Press , 2012. Vol. 241, p. 318-329
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389, E-ISSN 1879-8314 ; 241
Keywords [en]
Spatio-Temporal Dynamics; Activity Recognition; Reasoning about Action and Change; Dynamic Control
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-64255DOI: 10.3233/978-1-61499-096-3-318ISI: 000349025700029Scopus ID: 2-s2.0-84879089202ISBN: 978-1-61499-095-6 (print)ISBN: 978-1-61499-096-3 (print)OAI: oai:DiVA.org:oru-64255DiVA, id: diva2:1174466
Conference
6th European Starting AI Researchers' Symposium (STAIRS), Montpellier, France, August 27-28, 2012
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-01-19Bibliographically approved

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Bhatt, Mehul

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