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.
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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 |
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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 |
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