Towards Virtual Assessment of Human Factors: A Concept for Data-Driven Prediction and Analysis of Physical User-product Interactions

Wolf A, Binder N, Miehling J, Wartzack S (2019)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Cambridge University Press

City/Town: Cambridge, United Kingdom

Pages Range: 4029 - 4038

Conference Proceedings Title: Proceedings of the 22nd International Conference on Engineering Design (ICED19)

Event location: Delft NL

URI: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/towards-virtual-assessment-of-human-factors-a-concept-for-data-driven-prediction-and-analysis-of-physical-userproduct-interactions/5EE9F63349D6B71FDEC6A86DB7779C45

DOI: 10.1017/dsi.2019.410

Open Access Link: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/towards-virtual-assessment-of-human-factors-a-concept-for-data-driven-prediction-and-analysis-of-physical-userproduct-interactions/5EE9F

Abstract

The early consideration of human factors in product development hugely favours the development of products, which excel with a positive user experience. The virtual environment of product development however, still has significant gaps in the virtual assessment and simulation of human factors, especially for user-product interactions composed of human movements. This motivates us to introduce a concept for data-driven prediction and analysis of user-product interactions. Heart of the concept is a predictive component that models the interaction between the user, represented by a musculoskeletal model, and the product, represented by product characteristics. We describe the implementation of this concept based on a pilot study for a lifting task. Motion capturing was performed to build a database and compare the results of our novel approach. The resulting kinematic and dynamic quantities show similar curve profiles with a small constant offset to the measured data. This indicates that the concept enables the virtual comparison of different designs or concepts regarding human factors.

Authors with CRIS profile

How to cite

APA:

Wolf, A., Binder, N., Miehling, J., & Wartzack, S. (2019). Towards Virtual Assessment of Human Factors: A Concept for Data-Driven Prediction and Analysis of Physical User-product Interactions. In Proceedings of the 22nd International Conference on Engineering Design (ICED19) (pp. 4029 - 4038). Delft, NL: Cambridge, United Kingdom: Cambridge University Press.

MLA:

Wolf, Alexander, et al. "Towards Virtual Assessment of Human Factors: A Concept for Data-Driven Prediction and Analysis of Physical User-product Interactions." Proceedings of the International Conference on Engineering Design (ICED19), Delft Cambridge, United Kingdom: Cambridge University Press, 2019. 4029 - 4038.

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