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2025 (English)In: Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part III / [ed] Masaaki Kurosu; Ayako Hashizume, Cham: Springer, 2025, p. 362-373Conference paper, Published paper (Refereed)
Abstract [en]
Ergonomics evaluation methods are typically used for assessing risks of work-related musculoskeletal disorders (WMSDs) and the physical well-being of workers. Traditionally, these methods rely on assessors observing workers performing tasks and assessing potential risks based on observational ergonomics evaluation methods like the Rapid Entire Body Assessment (REBA) and the Rapid Upper Limb Assessment (RULA). While observational methods provide a structured risk assessment framework, they often depend on subjective evaluations, leading to inconsistent assessments between different ergonomists.
This study examines the application of motion capture technology to enhance the objectivity and efficiency of ergonomics evaluations and to enable the use of direct measurement ergonomics evaluation methods. The study was conducted at a medium-sized enterprise assembly station, where a worker’s tasks were recorded using motion capture technology. The captured motions were input into the Digital Human Modelling (DHM) tool IPS IMMA, and ergonomic assessments were performed using RULA, REBA, and the Arm Force Field (AFF) method.
The study followed a process comprising three main stages: data collection, data processing, and ergonomics evaluation. The recorded data were processed into XML format, imported into IPS IMMA, and exported to the Ergonomics in Production Platform (EPP) for RULA and REBA evaluations and to a script for AFF evaluations. The integration of these methods improved the precision and reliability of ergonomics assessments by replacing subjective estimates with direct measurements. The findings demonstrate the potential of combining motion capture with DHM tools to enhance ergonomics evaluation and support decisionmaking in workstation design and automation.
Place, publisher, year, edition, pages
Cham: Springer, 2025
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 15768
Keywords
Ergonomics Evaluation, Motion Capture, Digital Human Modelling, Manual Assembl
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD); User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-25364 (URN)10.1007/978-3-031-93845-0_25 (DOI)2-s2.0-105008199624 (Scopus ID)978-3-031-93844-3 (ISBN)978-3-031-93845-0 (ISBN)
Conference
Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025
Projects
EWASS - Empowering Human Workers for Assembly of Wire Harnesses
Funder
Knowledge Foundation, 2018-0011Vinnova, 2022-01279
Note
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
The authors appreciatively thank the support of the research project Virtual Factories with Knowledge-Driven Optimisation (2018-0011) funded by the Knowledge Foundation and the research project EWASS (2022-01279) funded by VINNOVA. The authors also thank Dan Högberg and Mikael Lebram for the support during the experiment and Nicholas La Delfa for providing software necessary for the experiment. With this support the research was made possible.
2025-06-272025-06-272025-09-29Bibliographically approved