Towards user-product interaction prediction with musculoskeletal human models: a methodological comparison for posture prediction

Spelly G, van Remmen JS, Wartzack S, Miehling J (2026)

Publication Language: English

Publication Type: Journal article

Publication year: 2026

Journal

Proceedings of the Design Society Cambridge University Press

Book Volume: 6

Pages Range: 2671-2680

Event location: Cavtat/Dubrovnik

DOI: 10.1017/pds.2026.10625

Abstract

Digital user tests utilizing musculoskeletal human models facilitate ergonomic assessments in the early phases of the product development process. In the underlying posture prediction models, the various movement strategies of the users need to be represented. Behavior cards are an evaluated tool for the representation of such movement strategies; however, a standardized determination of behavior cards is lacking so far. This study explores a cluster-based and a regression-based method for standardized behavior card determination, demonstrating the applicability of both methods.

Authors with CRIS profile

Gwen Spelly Sonderforschungsbereich 1483/1 - Empathokinästhetische Sensorik - Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (SFB EmpkinS) Judith Sophie van Remmen Chair of Engineering Design (KTmfk) Sandro Wartzack Chair of Engineering Design (KTmfk) Jörg Miehling Chair of Engineering Design (KTmfk)

How to cite

APA:

Spelly, G., van Remmen, J.S., Wartzack, S., & Miehling, J. (2026). Towards user-product interaction prediction with musculoskeletal human models: a methodological comparison for posture prediction. Proceedings of the Design Society, 6, 2671-2680. https://doi.org/10.1017/pds.2026.10625

MLA:

Spelly, Gwen, et al. "Towards user-product interaction prediction with musculoskeletal human models: a methodological comparison for posture prediction." Proceedings of the Design Society 6 (2026): 2671-2680.

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