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

Ilir Kola; Catholijn M. Jonker; M. Birna van Riemsdijk

doi:10.1007/978-3-030-51417-4_7

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

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

48 Downloads (Pure)

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 language	English
Title of host publication	Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers
Editors	Louise A. Dennis, Rafael H. Bordini, Yves Lespérance
Place of Publication	Cham
Publisher	Springer
Pages	127-151
Number of pages	25
ISBN (Electronic)	978-3-030-51417-4
ISBN (Print)	9783030514167
DOIs	https://doi.org/10.1007/978-3-030-51417-4_7
Publication status	Published - 2020
Event	7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019 - Montreal, Canada Duration: 13 May 2019 → 14 May 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	12058
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019
Country/Territory	Canada
City	Montreal
Period	13/05/19 → 14/05/19

Keywords

Knowledge representation
Social situation modelling
Socially aware agents

Access to Document

10.1007/978-3-030-51417-4_7

Kola2020_Chapter_WhoSThat-SocialSituationAwarenFinal published version, 1.47 MBLicence: CC BY

Cite this

Kola, I., Jonker, C. M., & van Riemsdijk, M. B. (2020). Who’s that? - Social situation awareness for behaviour support agents: A feasibility study. In L. A. Dennis, R. H. Bordini, & Y. Lespérance (Eds.), Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers (pp. 127-151). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12058 ). Springer. https://doi.org/10.1007/978-3-030-51417-4_7

Kola, Ilir ; Jonker, Catholijn M. ; van Riemsdijk, M. Birna. / Who’s that? - Social situation awareness for behaviour support agents : A feasibility study. Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers. editor / Louise A. Dennis ; Rafael H. Bordini ; Yves Lespérance. Cham : Springer, 2020. pp. 127-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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year = "2020",

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Kola, I, Jonker, CM & van Riemsdijk, MB 2020, Who’s that? - Social situation awareness for behaviour support agents: A feasibility study. in LA Dennis, RH Bordini & Y Lespérance (eds), Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12058 , Springer, Cham, pp. 127-151, 7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019, Montreal, Canada, 13/05/19. https://doi.org/10.1007/978-3-030-51417-4_7

Who’s that? - Social situation awareness for behaviour support agents: A feasibility study. / Kola, Ilir; Jonker, Catholijn M.; van Riemsdijk, M. Birna.
Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers. ed. / Louise A. Dennis; Rafael H. Bordini; Yves Lespérance. Cham: Springer, 2020. p. 127-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12058 ).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Who’s that? - Social situation awareness for behaviour support agents

T2 - 7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019

AU - Kola, Ilir

AU - Jonker, Catholijn M.

AU - van Riemsdijk, M. Birna

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers

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ER -

Kola I, Jonker CM, van Riemsdijk MB. Who’s that? - Social situation awareness for behaviour support agents: A feasibility study. In Dennis LA, Bordini RH, Lespérance Y, editors, Engineering Multi-Agent Systems - 7th International Workshop, EMAS 2019, Revised Selected Papers. Cham: Springer. 2020. p. 127-151. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-51417-4_7

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Pilot experiment exploring the priority of social situations

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Datasets

Pilot experiment exploring the priority of social situations

Cite this