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  Expert Perception of Teleoperated Social Exercise Robots

Mohan, M., Husin, H. M., & Kuchenbecker, K. J. (2024). Expert Perception of Teleoperated Social Exercise Robots. In HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 769-773). New York, NY: Association for Computing Machiner.

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Genre: Conference Paper

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Locator:
https://doi.org/10.1145/3610978.3640620 (Publisher version)
Description:
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OA-Status:
Gold

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 Creators:
Mohan, Mayumi1, Author           
Husin, Haliza Mat1, Author           
Kuchenbecker, Katherine J.1, Author                 
Affiliations:
1Dept. Haptic Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2301694              

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Free keywords: Abt. Kuchenbecker
 Abstract: Social robots could help address the growing issue of physical inactivity by inspiring users to engage in interactive exercise. Nevertheless, the practical implementation of social exercise robots poses substantial challenges, particularly in terms of personalizing their activities to individuals. We propose that motion-capture-based teleoperation could serve as a viable solution to address these needs by enabling experts to record custom motions that could later be played back without their real-time involvement. To gather feedback about this idea, we conducted semi-structured interviews with eight exercise-therapy professionals. Our findings indicate that experts' attitudes toward social exercise robots become more positive when considering the prospect of teleoperation to record and customize robot behaviors.

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Language(s): eng - English
 Dates: 2024-03-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3610978.3640620
BibTex Citekey: Mohan24-HRILBR-Expert
 Degree: -

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Title: 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24)
Place of Event: Boulder, CA
Start-/End Date: 2024-03-11 - 2024-03-15

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Title: HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Association for Computing Machiner
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 769 - 773 Identifier: ISBN: 979-8-4007-0323-2
DOI: 10.1145/3610978