TY - GEN
T1 - Personalising the dialogue of relational agents for first-time users
AU - Ranjbartabar, Hedieh
AU - Richards, Deborah
AU - Bilgin, Ayse Aysin
AU - Kutay, Cat
N1 - Publisher Copyright:
© 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Empathic Dialogue
KW - Human-Agent Interaction
KW - Intelligent Virtual Agents
KW - Personalisation
KW - Relational Agents
KW - Virtual Advisor
UR - http://www.scopus.com/inward/record.url?scp=85112275892&partnerID=8YFLogxK
UR - http://www.ifaamas.org/Proceedings/aamas2021/
UR - http://toc.proceedings.com/59738webtoc.pdf
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85112275892
VL - 3
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1622
EP - 1624
BT - 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
Y2 - 3 May 2021 through 7 May 2021
ER -