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  Variable Force-Stiffness Haptic Feedback for Learning a Disturbance Rejection Task

Bufalo, F., Olivari, M., Geluardi, S., Gerboni, C., Pollini, L., & Bülthoff, H. (2017). Variable Force-Stiffness Haptic Feedback for Learning a Disturbance Rejection Task. In IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017) (pp. 1517-1522). Piscataway, NJ, USA: IEEE.

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 Creators:
Bufalo, F1, 2, Author           
Olivari, M1, 2, 3, 4, Author           
Geluardi, S1, 2, 3, Author           
Gerboni, CA1, 2, 3, Author           
Pollini, L, Author           
Bülthoff, HH1, 2, 3, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              
4Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              

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 Abstract: This paper investigates the use of a variable haptic
feedback for training a disturbance rejection task. The haptic feedback was designed as a Force-Stiffness feedback. Throughout the training, Force and Stiffness feedback are decreased to progressively give more control authority to the human operator. The training method was tested in a human-in-the-loop experiment. In the experiment, participants were split into three groups: variable haptic aid (VHA), constant haptic aid (CHA) and no haptic aid (NoHA). The VHA and CHA groups performed a first training
phase with variable and constant haptic feedback respectively, followed by an evaluation phase without external aids. The NoHA group performed the entire experiment without external aids. Results showed that in the training phase both VHA and CHA groups performed better than NoHA group. In the evaluation phase though, only the VHA group obtained better performances than the NoHA group. Specifically, participants were able to quickly recover similar performances to those obtained at the end of the training phase. Thus, the variable haptic training proved to be more effective than the constant haptictraining
and manual control at helping participants learn the task.

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 Dates: 2017-10
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1109/SMC.2017.8122829
BibTex Citekey: BufaloOGGPB2017
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Title: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017)
Place of Event: Banff, Canada
Start-/End Date: 2017-10-05 - 2017-10-08

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Title: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1517 - 1522 Identifier: ISBN: 978-1-5386-1645-1