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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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Bufalo, F1, 2, Autor           
Olivari, M1, 2, 3, 4, Autor           
Geluardi, S1, 2, 3, Autor           
Gerboni, CA1, 2, 3, Autor           
Pollini, L, Autor
Bülthoff, HH1, 2, 3, Autor           
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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 Zusammenfassung: 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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 Datum: 2017-10
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1109/SMC.2017.8122829
BibTex Citekey: BufaloOGGPB2017
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Titel: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017)
Veranstaltungsort: Banff, Canada
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Titel: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017)
Genre der Quelle: Konferenzband
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Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1517 - 1522 Identifikator: ISBN: 978-1-5386-1645-1