Personalising the dialogue of relational agents for first-time users

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

Abstract

Relational agents who personalise their message to individual users need to learn about the user first. In the context of an agent who personalises the inclusion of 10 relational cues in its dialogue, we explore training the agent based on first time user's responses to a single example of each cue prior to the session with the virtual advisor. We designed a between subjects study with three groups: Empathic (all relational cues); Neutral (no relational cues) and Adaptive (only helpful cues included). We found that in the Adaptive group, students received what they found helpful more often than in the other two groups. Analysis of the discrepancy between what user's found helpful and what they received was least in the Adaptive group and greatest in the Neutral group.

Original languageEnglish
Title of host publication20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery, Inc
Pages1622-1624
Number of pages3
ISBN (Electronic)9781450383073
ISBN (Print)9781713832621
Publication statusPublished - 2021
Event20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online
Duration: 3 May 20217 May 2021

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

Conference20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
CityVirtual, Online
Period3/05/217/05/21

Keywords

  • Empathic Dialogue
  • Human-Agent Interaction
  • Intelligent Virtual Agents
  • Personalisation
  • Relational Agents
  • Virtual Advisor

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