Feedback modalities in human-cobot collaboration: experimental evaluation of performance, user experience, and physiological responses
Amir Biton, Yuval Cohen, Shraga Shoval · 2026
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Description
Biton and colleagues test how the form of feedback from a collaborative robot, or cobot, shapes the human working beside it, in 2026 human-robot interaction research. Workers received auditory signals, visual signals, both together, or none, across two tasks: a turn-taking task with loose teamwork and a shared-control task demanding tight teamwork. The team measured completion time, workers' ratings of comfort and interaction quality, and heart rate variability as a marker of bodily stress.
In the turn-taking task, no feedback gave the shortest completion times but the poorest perceived interaction quality and somewhat higher autonomic activation. Combined sound-and-vision feedback slowed completion yet improved comfort and task understanding. In the high-collaboration task, an extra projected display was layered onto the feedback options. Biton concludes the best form depends on teamwork demands: speed, comfort, and bodily calm trade against one another in each task.
Catalog record
| CREATOR | Amir Biton, Yuval Cohen, Shraga Shoval |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 75 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |