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Mental Effort and Usability of Assistance Systems in Manual Assembly – A Comparison of Pick-to-Light and AR Contours Through VR Simulation

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HCI International 2020 - Posters (HCII 2020)

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Abstract

In our experimental user test, 25 healthy participants assembled hydraulic valves and geometric figures using two assistive functions (Pick-to-light (PtL) and Augmented Reality (AR) contours at the place of installation). We used virtual reality (VR; HTC Vive) to simulate the workplace and the assistance functions and compared the mental effort and the usability between PtL and AR. We also examined the applicability of our methodology to further studies in this field. The mental effort was higher when using the AR contours than when using the Pick-to-light. The participants rated the usage suitability of both alternatives as approximately equal regarding the perceived usefulness, perceived ease of use and dialogue principles of the ISONORM. However, the System Usability Scale (SUS) showed a better usability with the PtL. We found low to medium negative correlations of mental effort with usability dimensions. In general, VR simulations and the methods applied appear to be suitable to investigate user-centric aspects of the use of digital assistance systems in manual assembly. However, in order to broaden our understanding of health standards and productive work, we recommend further field studies and participants of more varied ages.

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Acknowledgments

The Federal Ministry of Education and Research have funded this research in the project “3D-basierte Assistenztechnologien für variantenreiche Montageprozesse – Menschzentrierter Arbeitsplatz der Zukunft ‘3D-Montageassistent’” (project number 03ZZ0441E).

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Correspondence to Annemarie Minow .

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Minow, A., Stüring, S., Böckelmann, I. (2020). Mental Effort and Usability of Assistance Systems in Manual Assembly – A Comparison of Pick-to-Light and AR Contours Through VR Simulation. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-50726-8_60

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  • DOI: https://doi.org/10.1007/978-3-030-50726-8_60

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  • Publisher Name: Springer, Cham

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