Abstract
For human-agent teams to be successful, agent explanations are crucial. These explanations should ideally be personalized by adapting them to intended human users. So far, little work has been conducted on personalized agent explanations during human-agent teamwork. Therefore, an online experiment (n = 60) was conducted to compare personalized agent explanations against a baseline of non-personalized explanations. We implemented four agents who adapted their explanations during a search and rescue task randomly, or based on human workload, performance, or trust. Results show that personalized explanations can increase explanation satisfaction and trust in the agent, but also decrease performance. Therefore, we conclude that personalized agent explanations can be beneficial to human-agent teamwork, but that user modelling and personalization techniques should be carefully considered.
| Original language | English |
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| Title of host publication | Proceedings of the 2023 International Conference of Autonomous Agents and Multiagent Systems |
| Pages | 2316–2318 |
| Publication status | Published - 2023 |
| Event | 2023 International Conference on Autonomous Agents and Multiagent Systems - London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 |
Conference
| Conference | 2023 International Conference on Autonomous Agents and Multiagent Systems |
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| Abbreviated title | AAMAS'23 |
| Country/Territory | United Kingdom |
| City | London |
| Period | 29/05/23 → 2/06/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.