Abstract
The transition from robots and humans working separately to performing tasks in a shared workspace presents new challenges, such as adapting the robot's behavior to the state of the human worker. For instance, maintaining an appropriate state of human-to-robot trust is a central antecedent of effective human-robot collaboration. To explore this area, we present a study investigating the effect of trust calibration on team performance. We investigated with 38 participants the effects of using robot apologies as well as two different framing scenarios in a robotic Pick and Place task.
| Originalsprog | Engelsk |
|---|---|
| Titel | 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 |
| Forlag | IEEE Computer Society |
| Publikationsdato | 2024 |
| Sider | 4005-4011 |
| ISBN (Elektronisk) | 9798350358513 |
| DOI | |
| Status | Udgivet - 2024 |
| Begivenhed | 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 - Bari, Italien Varighed: 28. aug. 2024 → 1. sep. 2024 |
Konference
| Konference | 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 |
|---|---|
| Land/Område | Italien |
| By | Bari |
| Periode | 28/08/2024 → 01/09/2024 |
| Navn | IEEE International Conference on Automation Science and Engineering |
|---|---|
| ISSN | 2161-8070 |
Bibliografisk note
Publisher Copyright:© 2024 IEEE.