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Trust in Robot Self...
Trust in Robot Self-Defense : People Would Prefer a Competent, Tele-Operated Robot That Tries to Help∗
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- Kochenborger Duarte, Eduardo, 1994- (author)
- Högskolan i Halmstad,Akademin för informationsteknologi
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- Shiomi, Masahiro (author)
- Advanced Telecommunications Research, Institute International (ATR), Kyoto, Japan
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- Vinel, Alexey, 1983- (author)
- Högskolan i Halmstad,Akademin för informationsteknologi,Karlsruhe Institute of Technology, Karlsruhe, Germany
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- Cooney, Martin, 1980- (author)
- Högskolan i Halmstad,Akademin för informationsteknologi,Advanced Telecommunications Research, Institute International (ATR), Kyoto, Japan
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(creator_code:org_t)
- New York, NY : IEEE, 2023
- 2023
- English.
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In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). - New York, NY : IEEE. - 9798350336702 - 9798350336719 ; , s. 2447-2453
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Motivated by the expectation that robot presence at crime scenes will become increasingly prevalent, the question arises of how they can protect humans in their care or vicinity. The current paper delves into the concept of 'robot self-defense' and explores whether a robot should be tele-operated or autonomous, and how humans perceive imperfections in robot performance. To gain insight into how people feel, an online survey was conducted with 180 participants, who watched six videos of a robot defending a victim. The study provides insights into trust in human-robot interactions and sheds light on the complex dynamics involved in robot self-defense. The results indicate that people found a tele-operated robot to be more accepted, and that attempting to help but failing is more acceptable than just observing. © 2023 IEEE.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Keyword
- Surveys
- Human-robot interaction
- Robots
- Videos
Publication and Content Type
- ref (subject category)
- kon (subject category)
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