Who’s that? - Social situation awareness for behaviour support agents: A feasibility study

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Abstract

Behaviour support agents need to be aware of the social environment 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 situations, 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 - 7th International Workshop, EMAS 2019, Revised Selected Papers
EditorsLouise A. Dennis, Rafael H. Bordini, Yves Lespérance
Place of PublicationCham
PublisherSpringer
Pages127-151
Number of pages25
ISBN (Electronic)978-3-030-51417-4
ISBN (Print)9783030514167
DOIs
Publication statusPublished - 2020
Event7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019 - Montreal, Canada
Duration: 13 May 201914 May 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume12058
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019
CountryCanada
CityMontreal
Period13/05/1914/05/19

Keywords

  • Knowledge representation
  • Social situation modelling
  • Socially aware agents

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