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Computer Aided Ergonomics: Evaluation Study of a Interaction Model for Digital Human Models

Published online by Cambridge University Press:  26 May 2022

A. Wolf ,
K. Fackler ,
M. Reulbach ,
S. Wartzack  and
J. Miehling
A. Wolf*
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
K. Fackler
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
M. Reulbach
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
S. Wartzack
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
J. Miehling
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
*
a.wolf@mfk.fau.de

Abstract

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In user-centred design, digital human models hold the potential for proactive evaluations of ergonomics or discomfort in terms of a computer aided ergonomics tool. Therefore, models predicting human interaction behaviour, are necessary. In this contribution we present such a model as well as its initial evaluation. The evaluation is performed by applying the interaction model to a specific use case, conducting a comparison with an empirical subject study. The evaluation shows that similar and realistic human behaviour was predicted, which was consistent in terms of whole-body strain.

Keywords

user-centred designinteraction designdigital human modelsevaluationcomputer-aided ergonomics

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 663 - 672
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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