Personalising the dialogue of relational agents for first-time users

Hedieh Ranjbartabar, Deborah Richards, Ayse Aysin Bilgin, Cat Kutay

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

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    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 publicationProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
    Place of PublicationUSA
    PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
    Pages1622-1624
    Number of pages3
    Volume3
    ISBN (Electronic)9781713832621
    ISBN (Print)9781450383073
    Publication statusPublished - Jul 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

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