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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 ap-
propriate 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.
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 ap-
propriate 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.
| Original language | English |
|---|---|
| Publication date | 2024 |
| Number of pages | 7 |
| Publication status | Published - 2024 |
| Event | 2024 IEEE 20th International Conference on Automation Science and Engineering - Bari, Italy Duration: 28. Aug 2024 → 1. Sept 2024 https://2024.ieeecase.org/ |
Conference
| Conference | 2024 IEEE 20th International Conference on Automation Science and Engineering |
|---|---|
| Country/Territory | Italy |
| City | Bari |
| Period | 28/08/2024 → 01/09/2024 |
| Internet address |
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Fluently : Fluently - The essence of human-robot interaction
Bodenhagen, L. (Project participant), Krüger, N. (PI), Kramberger, A. (Project participant) & Pietras, E. T. J. S. (Project participant)
01/06/2022 → 31/05/2025
Project: EU