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The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation

Parsa, Soran; Maior, Horia A.; Thumwood, Alex Reeve Elliott; Wilson, Max L; Hanheide, Marc; Esfahani, Amir Ghalamzan

The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation Thumbnail


Authors

Soran Parsa

HORIA MAIOR Horia.Maior@nottingham.ac.uk
Transitional Assistant Professor

Alex Reeve Elliott Thumwood

Marc Hanheide

Amir Ghalamzan Esfahani



Abstract

The use of human operator managed robotics, especially for safety critical work, includes a shift from physically demanding to mentally challenging work, and new techniques for Human-Robot Interaction are being developed to make teleoperation easier and more accurate. This study evaluates the impact of combining two teleoperation support features (i) scaling the velocity mapping of leader-follower arms (motion scaling), and (ii) haptic-feedback guided shared control (haptic guidance). We used purposely difficult peg-in-the-hole tasks requiring high precision insertion and manipulation, and obstacle avoidance, and evaluated the impact of using individual and combined support features on a) task performance and b) operator workload. As expected, long distance tasks led to higher mental workload and lower performance than short distance tasks. Our results showed that motion scaling and haptic guidance impact workload and improve performance during more difficult tasks, and we discussed this in contrast to participants preference for using different teleoperation features.

Citation

Parsa, S., Maior, H. A., Thumwood, A. R. E., Wilson, M. L., Hanheide, M., & Esfahani, A. G. (2022). The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (Article No.: 253). https://doi.org/10.1145/3491101.3519814

Presentation Conference Type Edited Proceedings
Conference Name CHI '22: CHI Conference on Human Factors in Computing Systems
Start Date Apr 29, 2022
End Date May 5, 2022
Acceptance Date Feb 18, 2022
Online Publication Date Apr 28, 2022
Publication Date Apr 27, 2022
Deposit Date Aug 18, 2022
Publicly Available Date Aug 18, 2022
Publisher Association for Computing Machinery (ACM)
Pages Article No.: 253
Book Title CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
DOI https://doi.org/10.1145/3491101.3519814
Keywords Teleoperation, Mental Workload, Usability Testing, Motion Scaling, Haptic-guided shared control
Public URL https://nottingham-repository.worktribe.com/output/7536484
Publisher URL https://dl.acm.org/doi/10.1145/3491101.3519814

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