MURAL - Maynooth University Research Archive Library



    On the Benefits of Directness in Virtual Characters for Motivational Interviews


    O'Mahony, Michael, Ennis, Cathy and Ross, Robert (2024) On the Benefits of Directness in Virtual Characters for Motivational Interviews. 32nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2024). pp. 1-13.

    [thumbnail of OntheBenefitsofDirectnessinVirtualCharactersforMotivatio.pdf]
    Preview
    Text
    OntheBenefitsofDirectnessinVirtualCharactersforMotivatio.pdf
    Available under License Creative Commons Attribution Non-commercial Share Alike.

    Download (265kB) | Preview

    Abstract

    Understanding the factors influencing successful engagement with Embodied Conversational Agents (ECAs) remains a significant challenge. This understanding could be used to personalise agents to users to improve interactions. Some studies have shown that simulating personalities in healthcare agents can improve effectiveness and engagement. However, it is not yet well understood how variations of agent personality can be leveraged to improve user engagement with Motivational Interviewing (MI) ECAs. Specifically how the balance between agent warmth and directness can be controlled in an MI agent to improve likeability and engagement. We conducted an online Wizard-of-Oz (WoZ) mediated study of two variants of a motivational ECA to investigate user perception and attitudes towards warmth and directness in interaction style. In our MI scenario, participants rated likeability and engagement higher for the direct agent variation. This effect was not as strong for younger participants or participants who were not native English speakers. This result gives us a direction to improve MI ECAs to make their increased adoption more likely.
    Item Type: Article
    Keywords: Embodied Conversational Agents; Text Style Control; Motivational Interviewing; Personality; Text Generation;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 20317
    Identification Number: 10.21427/xt7p-sh84
    Depositing User: IR Editor
    Date Deposited: 11 Aug 2025 15:46
    Journal or Publication Title: 32nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2024)
    Publisher: ARROW@TU Dublin
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/20317
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads