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  The Predictability of a Target Signal Affects Manual Feedforward Control

Drop, F., De Vries, R., Mulder, M., & Bülthoff, H. (2016). The Predictability of a Target Signal Affects Manual Feedforward Control. IFAC-PapersOnLine, 49(19), 177-182.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7A82-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-8A14-B
Genre: Conference Paper

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 Creators:
Drop, FM1, 2, 3, 4, Author              
De Vries, R4, Author              
Mulder, M, Author
Bülthoff, HH1, 3, 4, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              
3Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              
4Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: In the manual control of a dynamic system, the human controller (HC) is often required to follow a visible and predictable reference path. Using the predictable aspect of a reference signal, through applying feedforward control, the HC can significantly improve performance as compared to a purely feedback control strategy. A proper definition of a signal’s predictability, however, is never given in literature. This paper investigates the predictability of a sum-of-sinusoids target signal, as a function of the number of sinusoid components and the fact whether the sinusoid frequencies are harmonic, or not. A human-in-the-loop experiment was done, with target signals varying for these two signal characteristics. A combined feedback-feedforward HC model was identified and parameters were estimated. It was found that for all experimental conditions, subjects used a feedforward strategy. Results further showed that subjects were able to perform better for harmonic signals as compared to non-harmonic signals, for signals with roughly the same frequency content.

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 Dates: 2016-08
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.ifacol.2016.10.482
BibTex Citekey: DropDMB2016
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Title: 13th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (HMS 2016)
Place of Event: Kyoto, Japan
Start-/End Date: 2016-08-30 - 2016-09-02

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Title: IFAC-PapersOnLine
  Other : IFAC Papers Online
Source Genre: Journal
 Creator(s):
Sawaragi, T., Editor
Affiliations:
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Publ. Info: Frankfurt ; München [u.a.] : Elsevier
Pages: - Volume / Issue: 49 (19) Sequence Number: - Start / End Page: 177 - 182 Identifier: ISSN: 2405-8963
CoNE: https://pure.mpg.de/cone/journals/resource/2405-8963