Socially-conditioned task reasoning for a virtual tutoring agent

Zian Zhao, Michael Madaio, Florian Pecune, Yoichi Matsuyama, Justine Cassell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent.

Original languageEnglish
Title of host publication17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages2265-2267
Number of pages3
ISBN (Print)9781510868083
Publication statusPublished - 2018 Jan 1
Externally publishedYes
Event17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden
Duration: 2018 Jul 102018 Jul 15

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume3
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
CountrySweden
CityStockholm
Period18/7/1018/7/15

Fingerprint

Autonomous agents

Keywords

  • Pedagogical agent
  • Rapport
  • RL-LSTM
  • Socially-aware

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

Cite this

Zhao, Z., Madaio, M., Pecune, F., Matsuyama, Y., & Cassell, J. (2018). Socially-conditioned task reasoning for a virtual tutoring agent. In 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 (pp. 2265-2267). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Socially-conditioned task reasoning for a virtual tutoring agent. / Zhao, Zian; Madaio, Michael; Pecune, Florian; Matsuyama, Yoichi; Cassell, Justine.

17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018. p. 2265-2267 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhao, Z, Madaio, M, Pecune, F, Matsuyama, Y & Cassell, J 2018, Socially-conditioned task reasoning for a virtual tutoring agent. in 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 3, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 2265-2267, 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018, Stockholm, Sweden, 18/7/10.
Zhao Z, Madaio M, Pecune F, Matsuyama Y, Cassell J. Socially-conditioned task reasoning for a virtual tutoring agent. In 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 2018. p. 2265-2267. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).
Zhao, Zian ; Madaio, Michael ; Pecune, Florian ; Matsuyama, Yoichi ; Cassell, Justine. / Socially-conditioned task reasoning for a virtual tutoring agent. 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018. pp. 2265-2267 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).
@inproceedings{cc19c5b637d941d088aee75ba9efa186,
title = "Socially-conditioned task reasoning for a virtual tutoring agent",
abstract = "Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent.",
keywords = "Pedagogical agent, Rapport, RL-LSTM, Socially-aware",
author = "Zian Zhao and Michael Madaio and Florian Pecune and Yoichi Matsuyama and Justine Cassell",
year = "2018",
month = "1",
day = "1",
language = "English",
isbn = "9781510868083",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "2265--2267",
booktitle = "17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018",

}

TY - GEN

T1 - Socially-conditioned task reasoning for a virtual tutoring agent

AU - Zhao, Zian

AU - Madaio, Michael

AU - Pecune, Florian

AU - Matsuyama, Yoichi

AU - Cassell, Justine

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent.

AB - Virtual agents have been shown to be more effective when incorporating social factors such as trust into task action selection. However, there has been less work on how virtual tutoring agents can incorporate social factors into pedagogical action selection. We propose and evaluate how a socially-conditioned task reasoner for a virtual pedagogical agent can incorporate both task and social factors into task reasoning. Our work contributes to the autonomous agent community by providing further evidence that incorporating information about dyadic social factors (e.g. rapport) can be beneficial for agents' task reasoning in the case of a tutoring agent.

KW - Pedagogical agent

KW - Rapport

KW - RL-LSTM

KW - Socially-aware

UR - http://www.scopus.com/inward/record.url?scp=85054696494&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054696494&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85054696494

SN - 9781510868083

T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

SP - 2265

EP - 2267

BT - 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

ER -