Sarah the virtual advisor to reduce study stress
- Publication Type:
- Conference Proceeding
- Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2018, 3 pp. 1829 - 1831
- Issue Date:
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© 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. Understanding users could help Intelligent Virtual Agents (IVAs) to provide supportive tailored behaviours. To exhibit appropriate behaviours, the IVA needs to adapt based on features of the human that are important for the current context and the purpose of the agent. Towards creation of a user model that the agent can reason over and adapt accordingly, we have created the "Reduce Study Stress" scenario to identify possible relationships and rules based on personality, character preferences and the emotional state of the user. We measured preferences, helpfulness, rapport and emotional feeling and responses to some of the IVAs dialogue. We found differences in preferences and the emotional feeling reported by participants based on individual differences and groups.
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