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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References
Guo, A., et al.: A comparison of order picking assisted by head-up display (HUD), cart-mounted display (CMD), light, and paper pick list. In: Dunne, L., Martin, T., Beigl, M. (eds.) Proceedings of the 2014 ACM International Symposium on Wearable Computers - ISWC 2014, pp. 71–78. ACM Press, New York (2014)
Wu, X., Haynes, M., Guo, A., Starner, T.: A comparison of order picking methods augmented with weight checking error detection. In: Beigl, M., Lukowicz, P., Blanke, U., Kunze, K., Lee, S.C. (eds.) Proceedings of the 2016 ACM International Symposium on Wearable Computers - ISWC 2016, pp. 144–147. ACM Press, New York (2016)
Wu, X., et al.: Comparing order picking assisted by head-up display versus pick-by-light with explicit pick confirmation. In: Mase, K., Langheinrich, M., Gatica-Perez, D. (eds.) Proceedings of the 2015 ACM International Symposium on Wearable Computers – ISWC 2015, pp. 133–136. ACM Press, New York (2015)
Zijlstra, F.R.H., van Doorn, L.: The Construction of a Scale to Measure Perceived Effort. Delft University of Technology, Delft (1985)
Zijlstra, F.R.H.: Efficiency in Work Behaviour. A Design Approach for Modern Tools. Delft University Press, Delft (1993)
Brooke, J.: SUS: a “quick and dirty” usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, A.L. (ed.) Usability Evaluation in Industry, pp. 189–194. Taylor and Francis, London (1986)
Prümper, J., Anft, M.: Die Evaluation von Software auf Grundlage des Entwurfs zur internationalen Ergonomie-Norm ISO 9241 Teil 10 als Beitrag zur partizipativen Systemgestaltung – ein Fallbeispiel. In: Rödiger, K. (ed.) Software-Ergonomie 1993 – Von der Benutzungsoberfläche zur Arbeitsgestaltung, pp. 145–156. Teubner, Stuttgart (1993)
Prümper, J.: Der Benutzerfragebogen ISONORM 9241/10: Ergebnisse zur Reliabilität und Validität. In: Liskowsky, R., Velichkovsky, B.M., Wünschmann, W. (ed.) Software-Ergonomie 1997 - Usability Engineering: Interaktion von Mensch-Computer-Interaktion und Software-Entwicklung, pp. 253–262. Teubner, Stuttgart (1997)
Pataki, K., Sachse, K., Prümper, J., Thüring, M.: ISONORM 9241/110-Short: Kurzfragebogen zur Software-Evaluation. In: Lösel, F. (ed.) Berichte über den 45. Kongress der Deutschen Gesellschaft für Psychologie, pp. 258–259. Pabst Science Publishers, Lengerich (2006)
Venkatesh, V., Davis, F.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)
Bangor, A.W., Kortum, P., Miller, J.: Determining what individual SUS scores mean: adding an adjective rating scale. J. Usability Stud. 4(3), 114–123 (2009)
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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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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