Human-Centered Design and Evaluation of Haptic Cueing for Teleoperation of Multiple Mobile Robots
- Authors
- Son, Hyoung Il; Franchi, Antonio; Chuang, Lewis L.; Kim, Junsuk; Buelthoff, Heinrich H.; Giordano, Paolo Robuffo
- Issue Date
- 4월-2013
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Bilateral teleoperation; maneuverability; multirobot systems; perception; psychophysics
- Citation
- IEEE TRANSACTIONS ON CYBERNETICS, v.43, no.2, pp.597 - 609
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON CYBERNETICS
- Volume
- 43
- Number
- 2
- Start Page
- 597
- End Page
- 609
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/103545
- DOI
- 10.1109/TSMCB.2012.2212884
- ISSN
- 2168-2267
- Abstract
- In this paper, we investigate the effect of haptic cueing on a human operator's performance in the field of bilateral teleoperation of multiple mobile robots, particularly multiple unmanned aerial vehicles (UAVs). Two aspects of human performance are deemed important in this area, namely, the maneuverability of mobile robots and the perceptual sensitivity of the remote environment. We introduce metrics that allow us to address these aspects in two psychophysical studies, which are reported here. Three fundamental haptic cue types were evaluated. The Force cue conveys information on the proximity of the commanded trajectory to obstacles in the remote environment. The Velocity cue represents the mismatch between the commanded and actual velocities of the UAVs and can implicitly provide a rich amount of information regarding the actual behavior of the UAVs. Finally, the Velocity+Force cue is a linear combination of the two. Our experimental results show that, while maneuverability is best supported by the Force cue feedback, perceptual sensitivity is best served by the Velocity cue feedback. In addition, we show that large gains in the haptic feedbacks do not always guarantee an enhancement in the teleoperator's performance.
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Collections - Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
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