Abstract
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 language | English |
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Title of host publication | Engineering Multi-Agent Systems |
Subtitle of host publication | 7th International Workshop, EMAS 2019, Montreal, QC, Canada, May 13–14, 2019, Revised Selected Papers |
Editors | Louise A. Dennis, Rafael H. Bordini, Yves Lespérance |
Publisher | Springer |
Pages | 127-151 |
Number of pages | 25 |
Volume | 12058 |
ISBN (Electronic) | 978-3-030-51417-4 |
ISBN (Print) | 978-3-030-51416-7 |
DOIs | |
Publication status | Published - 11 Jul 2020 |
Event | 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019) - Montreal, Canada Duration: 13 May 2019 → 14 May 2019 Conference number: 7 http://cgi.csc.liv.ac.uk/~lad/emas2019/index.html |
Publication series
Name | Lecture notes in computer science |
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Volume | 12058 |
Workshop
Workshop | 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019) |
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Abbreviated title | EMAS 2019 |
Country/Territory | Canada |
City | Montreal |
Period | 13/05/19 → 14/05/19 |
Internet address |