@inproceedings{59bfa78157be4c98aa6ca691167bc2dc,
title = "Personalising the dialogue of relational agents for first-time users",
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.",
keywords = "Empathic Dialogue, Human-Agent Interaction, Intelligent Virtual Agents, Personalisation, Relational Agents, Virtual Advisor",
author = "Hedieh Ranjbartabar and Deborah Richards and Bilgin, {Ayse Aysin} and Cat Kutay",
year = "2021",
language = "English",
isbn = "9781713832621",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "Association for Computing Machinery, Inc",
pages = "1622--1624",
booktitle = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021",
note = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",
}