Who’s that? – Social Situation Awareness for Behaviour Support Agents: A Feasibility Study

Ilir Kola*, Catholijn M. Jonker, M. Birna van Riemsdijk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
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Behavioursupportagentsneedtobeawareofthesocialenvi- ronment of the user in order to be able to provide comprehensive support. However, this is a feature that is currently lacking in existing systems. To tackle it, first of all we explore literature from social sciences in order to find which elements of the social environment need to be represented. We structure this knowledge as a two-level ontology that models social situations. We formalize the elements that are needed to model social sit- uations, which consist of different types of meetings between two people. We conduct an experiment to evaluate the lower level of the ontology using feedback from the subjects, and to test whether we can use the data to reason about the priority of different situations. Subjects found our proposed features of social relationships to be understandable and representative. Furthermore, we show these features can be combined in a decision tree to predict the priority of social situations.
Original languageEnglish
Title of host publicationEngineering Multi-Agent Systems
Subtitle of host publication7th International Workshop, EMAS 2019, Montreal, QC, Canada, May 13–14, 2019, Revised Selected Papers
ISBN (Electronic)978-3-030-51417-4
ISBN (Print)978-3-030-51416-7
Publication statusPublished - 11 Jul 2020
Event7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019) - Montreal, Canada
Duration: 13 May 201914 May 2019
Conference number: 7

Publication series

NameLecture notes in computer science


Workshop7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019)
Abbreviated titleEMAS 2019
Internet address


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