Hostname: page-component-7dd5485656-npwhs Total loading time: 0 Render date: 2025-10-31T20:47:53.482Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

References

Ahmed, S., Irshad, L., Demirel, H.O., Tumer, I.Y. and Duffy, V.G. (2019), “A comparison between virtual reality and digital human modeling for proactive ergonomic design”, Lecture Notes in Computer Science, 11581 LNCS, pp. 3–21. 10.1007/978-3-030-22216-1_1.CrossRefGoogle Scholar
Bauer, S., Sylaja, V.J., Fritzsche, L. and Ullmann, S. (2019), “Task-based digital human simulation with Editor for Manual work Activities - Basic functionalities, applications, and future works”, in Scataglini, S. and Paul, G. (Eds.), DHM and posturography, Academic Press, London, pp. 57–62. 10.1016/B978-0-12-816713-7.00005-2.CrossRefGoogle Scholar
Blessing, L.T.M. and Chakrabarti, A. (2009), DRM, a Design Research Methodology, Springer London, London. 10.1007/978-1-84882-587-1.Google Scholar
Chaffin, D.B. (2005), “Improving digital human modelling for proactive ergonomics in design”, Ergonomics, Vol. 48 No. 5, pp. 478–491. 10.1080/00140130400029191.Google ScholarPubMed
Delp, S.L., Anderson, F.C., Arnold, A.S., Loan, P., Habib, A., John, C.T., Guendelman, E. and Thelen, D.G. (2007), “OpenSim. Open-source software to create and analyze dynamic simulations of movement”, IEEE transactions on bio-medical engineering, Vol. 54 No. 11, pp. 1940–1950. 10.1109/TBME.2007.901024.CrossRefGoogle Scholar
Gibson, J.J. (1979), “The theory of affordances”, in Bornstein, M.H. and Gibson, J.J. (Eds.), The Ecological Approach to Visual Perception, pp. 127–137.Google Scholar
Hanson, L., Högberg, D., Carlson, J.S., Delfs, N., Brolin, E., Mårdberg, P., Spensieri, D., Björkenstam, S., Nyström, J. and Ore, F. (2019), “Industrial Path Solutions – Intelligently Moving Manikins”, in Scataglini, S. and Paul, G. (Eds.), DHM and posturography, Academic Press, London, pp. 115–124. 10.1016/B978-0-12-816713-7.00011-8.CrossRefGoogle Scholar
Irshad, L., Ahmed, S., Onan Demirel, H. and Tumer, I.Y. (2019), “Coupling digital human modeling with early design stage human error analysis to assess ergonomic vulnerabilities”, AIAA Scitech 2019 Forum. 10.2514/6.2019-2349.Google Scholar
Jung, M., Cho, H., Roh, T. and Lee, K. (2009), “Integrated Framework for Vehicle Interior Design Using Digital Human Model”, Journal of Computer Science and Technology, Vol. 24 No. 6, pp. 1149–1161. 10.1007/s11390-009-9287-3.CrossRefGoogle Scholar
Karatsidis, A., Jung, M., Schepers, H.M., Bellusci, G., Zee, M.d., Veltink, P.H. and Andersen, M.S. (2018), Predicting kinetics using musculoskeletal modeling and inertial motion capture.Google Scholar
Kuo, C.-F. and Wang, M.-J. (2009), “Motion generation from MTM semantics”, Computers in Industry, Vol. 60 No. 5, pp. 339–348. 10.1016/j.compind.2009.01.006.CrossRefGoogle Scholar
Miehling, J. (2019), “Musculoskeletal modeling of user groups for virtual product and process development”, Computer Methods in Biomechanics and Biomedical Engineering, Vol. 22 No. 15, pp. 1209–1218. 10.1080/10255842.2019.1651296.CrossRefGoogle ScholarPubMed
Miehling, J., Schuhhardt, J., Paulus-Rohmer, F. and Wartzack, S. (2015), “Computer Aided Ergonomics Through Parametric Biomechanical Simulation”, in Proceedings of the ASME 2015, DETC 2015 46064. 10.1115/DETC2015-46064.Google Scholar
Norman, D.A. (2013), The design of everyday things, Revised and expanded edition, Basic Books, New York New York.Google Scholar
Perez, J. and Neumann, W.P. (2015), “Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools”, Human Factors and Ergonomics in Manufacturing, Vol. 25 No. 3, pp. 279–293. 10.1002/hfm.20541.CrossRefGoogle Scholar
Ranger, F., Vezeau, S. and Lortie, M. (2018), “Traditional product representations and new digital tools in the dimensioning activity: a designers’ point of view on difficulties and needs”, Design Journal, Vol. 21 No. 5, pp. 707–730. 10.1080/14606925.2018.1494795.Google Scholar
Raschke, U. and Cort, C. (2019), “Siemens Jack”, in Scataglini, S. and Paul, G. (Eds.), DHM and posturography, Academic Press, London, pp. 35–48. 10.1016/B978-0-12-816713-7.00003-9.CrossRefGoogle Scholar
Rasmussen, J. (2019), “The AnyBody Modeling System”, in Scataglini, S. and Paul, G. (Eds.), DHM and posturography, Academic Press, London, pp. 85–96. 10.1016/B978-0-12-816713-7.00008-8.Google Scholar
Reed, M.P., Chaffin, D.B. and Faraway, J. (2005), “Critical features in human motion simulation for ergonomic analysis”, Proceedings of the Human Factors and Ergonomics Society.CrossRefGoogle Scholar
Rohmert, W. (1986), “Ergonomics: concept of work, stress and strain”, Applied Psychology, Vol. 35 No. 2, pp. 159–180. 10.1111/j.1464-0597.1986.tb00911.x.CrossRefGoogle Scholar
Sers, R., Forrester, S., Moss, E., Ward, S., Ma, J. and Zecca, M. (2020), “Validity of the Perception Neuron inertial motion capture system for upper body motion analysis”, Measurement, Vol. 149, p. 107024. 10.1016/j.measurement.2019.107024.CrossRefGoogle Scholar
Seth, A., Hicks, J.L., Uchida, T.K., Habib, A., Dembia, C.L., Dunne, J.J., Ong, C.F., DeMers, M.S., Rajagopal, A., Millard, M., Hamner, S.R., Arnold, E.M., Yong, J.R., Lakshmikanth, S.K., Sherman, M.A., Ku, J.P. and Delp, S.L. (2018), “OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement”, PLoS computational biology, Vol. 14 No. 7, e1006223. 10.1371/journal.pcbi.1006223.CrossRefGoogle ScholarPubMed
Shen, W. and Parsons, K.C. (1997), “Validity and reliability of rating scales for seated pressure discomfort”, International Journal of Industrial Ergonomics, Vol. 20 No. 6, pp. 441–461. 10.1016/S0169-8141(96)00068-6.CrossRefGoogle Scholar
Wartzack, S., Schröppel, T., Wolf, A. and Miehling, J. (2019), “Roadmap to Consider Physiological and Psychological Aspects of User-product Interactions in Virtual Product Engineering”, in Proceedings of the 22nd International Conference on Engineering Design (ICED19), Cambridge University Press, pp. 3989–3998. 10.1017/dsi.2019.406.Google Scholar
Weber, C. (1996), “What is a Feature and What is its Use – Results of FEMEX Working Group I”, in Proceedings of the 29th International Symposium on Automotive, Florenz, pp. 287–296.Google Scholar
Wirsching, H.-J. (2019), “Human Solutions RAMSIS”, in Scataglini, S. and Paul, G. (Eds.), DHM and posturography, Academic Press, London, pp. 49–55. 10.1016/B978-0-12-816713-7.00004-0.CrossRefGoogle Scholar
Wolf, A., Miehling, J. and Wartzack, S. (2020), “Challenges in interaction modelling with digital human models - A systematic literature review of interaction modelling approaches”, Ergonomics, No. Volume 63, Issue 11, pp. 1–17. 10.1080/00140139.2020.1786606.CrossRefGoogle ScholarPubMed
Wolf, A., Wagner, Y., Oßwald, M., Miehling, J. and Wartzack, S. (2021), “Simplifying Computer Aided Ergonomics: A User-Product Interaction-Modeling Framework in CAD Based on a Taxonomy of Elementary Affordances”, IISE transactions on occupational ergonomics and human factors, pp. 1–13. 10.1080/24725838.2021.1941433.Google Scholar
Wolf, A. and Wartzack, S. (2018), “Parametric Movement Synthesis: Towards virtual Optimisation of Man-Machine Interaction in Engineering Design”, in Marjanović, D., Štorga, M., Škec, S., Bojčetić, N. and Pavković, N. (Eds.), Design 2018, Faculty of Mechanical Engineering and Naval Architecture; Design Society, Zagreb, Glasgow, pp. 941–952. 10.21278/idc.2018.0400.CrossRefGoogle Scholar