Abstract
Agents that adapt to their user need to have knowledge of their user and expertise on how best to adapt to that type of user. In this paper we describe the addition of an agent's expertise and collection of machine-learnt user profiles to the proposed extended FAtiMA (Fearnot AffecTive Mind Architecture) cognitive agent architecture. A study to evaluate the extended architecture is presented which compares the benefit (i.e. reduced stress and increased rapport) of tailoring dialogue (i.e. empathic or neutral) to the specific user.
Original language | English |
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Title of host publication | Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 |
Editors | Bo An, Amal El Fallah Seghrouchni, Gita Sukthankar |
Place of Publication | USA |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 2117-2119 |
Number of pages | 3 |
Volume | 2020-May |
ISBN (Electronic) | 9781450375184 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 - Virtual, Auckland, New Zealand Duration: 19 May 2020 → … |
Publication series
Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
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Volume | 2020-May |
ISSN (Print) | 1548-8403 |
ISSN (Electronic) | 1558-2914 |
Conference
Conference | 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 |
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Country/Territory | New Zealand |
City | Virtual, Auckland |
Period | 19/05/20 → … |
Bibliographical note
Publisher Copyright:© 2020 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). All rights reserved.