Abstract
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.
Original language | English |
---|---|
Title of host publication | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
Place of Publication | New York |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 1829-1831 |
Number of pages | 3 |
Volume | 3 |
ISBN (Electronic) | 9781450356497 |
ISBN (Print) | 9781510868083 |
Publication status | Published - 1 Jan 2018 |
Externally published | Yes |
Event | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden Duration: 10 Jul 2018 → 15 Jul 2018 https://www.ifaamas.org/AAMAS/aamas2018/ |
Publication series
Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
---|---|
Volume | 3 |
ISSN (Print) | 1548-8403 |
ISSN (Electronic) | 1558-2914 |
Conference
Conference | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 |
---|---|
Country/Territory | Sweden |
City | Stockholm |
Period | 10/07/18 → 15/07/18 |
Internet address |