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JRM Vol.20 No.4 pp. 595-601
doi: 10.20965/jrm.2008.p0595
(2008)

Paper:

Human Adaptive Calibration for Machine Operation Without Awareness

Hiroshi Igarashi

Department of Electronical and Electronic Engineering, Tokyo Denki University, 2-2 Kanda-Nishiki-cho, Chiyoda-ku, Tokyo 1018457, Japan

Received:
February 25, 2008
Accepted:
June 16, 2008
Published:
August 20, 2008
Keywords:
calibration, human-machine system, cognitive science, human adaptive mechatronics
Abstract

Optimum human-machine operation is defined as when a operated machine with “human calculated dynamics model” coincides with its “machine dynamics.” Based on this definition, we propose calibration that brings the machine dynamics closer to the human-calculated machine model. Operators tend to learn dynamics without awareness during machine operation, so changes in machine dynamics appear to pose problems that both make operators uncomfortable and hinder their learning. We propose calibration for changes in machine dynamics without operator awareness, by quantifying perception based on cognitive scientific knowledge. We applied this calibration to a task involving the maneuvering of a mobile vehicle.

Cite this article as:
Hiroshi Igarashi, “Human Adaptive Calibration for Machine Operation Without Awareness,” J. Robot. Mechatron., Vol.20, No.4, pp. 595-601, 2008.
Data files:
References
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Last updated on Feb. 25, 2021