Abstract
This paper studies the effect of user’s own task-related faults over her satisfaction with a fault-prone agent in a human-agent collaborative setting. Through a series of extensive experiments we find that user faults make the user more tolerant to agent faults, and consequently more satisfied with the collaboration, in particular compared to the case where the user is performing faultlessly. This finding can be utilized for improving the design of collaborative agents. In particular, we present a proof-of-concept for such augmented design, where the agent, whenever in charge of allocating the tasks or can pick its own tasks, deliberately leave the user with a relatively difficult task for increasing the chance for a user fault, which in turn increases user satisfaction.
| Original language | English |
|---|---|
| Title of host publication | Distributed Artificial Intelligence - 3rd International Conference, DAI 2021, Proceedings |
| Editors | Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 129-149 |
| Number of pages | 21 |
| ISBN (Print) | 9783030946616 |
| DOIs | |
| State | Published - 2022 |
| Event | 3rd International Conference on Distributed Artificial Intelligence, DAI 2021 - Shanghai, China Duration: 17 Dec 2021 → 18 Dec 2021 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13170 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 3rd International Conference on Distributed Artificial Intelligence, DAI 2021 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 17/12/21 → 18/12/21 |
Bibliographical note
Publisher Copyright:© 2022, Springer Nature Switzerland AG.
Keywords
- Human-agent collaboration
- Human-agent interaction
- Intelligent user interfaces