Abstract
Human-centred design is based on the satisfaction of the user needs mainly related to performances, interaction, comfort, usability, accessibility, and visibility issues. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a multimodal system based on the collection of physiological and anthropometrical performance data on field and within a mixed prototyping set-up. The mixed environment makes users interact with virtual and digital items and users’ performance to be capture and digitalized, simulating human-machine interaction, while physiological and anthropometrical data collection allows to objectify the users’ physical and mental workload during task execution. Such a system has been applied to an industrial case study focusing on agricultural machinery driving and control to support the definition of a new cabin and its control board, in terms of seat features, commands’ positioning and grouping, and positioning of additional devices.
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References
Bashiri, B., Mann, D.D.: Automation and the situation awareness of drivers in agricultural semi-autonomous vehicles. Biosys. Eng. 124, 8–15 (2014)
Hsiao, H., Whitestone, J., Bradtmiller, B., Whisler, R., Zwiener, J., Lafferty, C., Kau, T.Y., Gross, M.: Anthropometric criteria for the design of tractor cabs and protection frames. Ergonomics 48(4), 323–353 (2005)
Ergonomics of human system interaction - Part 210: Human-centered design for interactive systems, International Organization for Standardization (ISO), ISO 9241-210 (2009)
Stramler, J.H.: The Dictionary for Human Factors/Ergonomics. CRC Press, Boca Raton (1993)
Pheasant, S.: Body Space: Anthropometry, Ergonomics and the Design of Work, pp. 121–123. Taylor & Francis, Philadelphia (1999)
Wilson, J.R.: Fundamentals of ergonomics in theory and practice. Appl. Ergon. 31, 557–567 (2000)
Zhang, J.Y., Qiu, W.W., Fu, H.J., Zhang, M.T., Ma, Q.G.: Review of techniques for driver fatigue detection. Appl. Mech. Mater. 433–435, 928–931 (2013)
Boubaker, K., Colantoni, A., Allegrini, E., Longo, L., Di Giacinto, S., Monarca, D.: A model for musculoskeletal disorder-related fatigue in upper limb manipulation during industrial vegetables sorting. Int. J. Ind. Ergon. 44, 601–605 (2014)
Healey, J.A., Picard, R.W.: Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans. Intell. Transp. Syst. 6, 156–166 (2005)
Ergonomic principles related to mental workload — Part 3: Principles and requirements concerning methods for measuring and assessing mental workload, International Organization for Standardization (ISO), ISO 10075-3 (2005)
Alberdi, A., Aztiria, A., Basarab, A.: Towards an automatic early stress recognition system for office environments based on multimodal measurements: a review. J. Biomed. Inform. 59, 49–75 (2016)
Tran, C., Trivedi, M.M.: Towards a vision-based system exploring 3D driver posture dynamics for driver assistance: issues and possibilities. In: Proceedings of the 2010 IEEE Intelligent Vehicles Symposium, pp. 179–184 (2010)
Yang, C.C., Hsu, Y.L.: A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors 10, 7772–7788 (2010)
Peruzzini, M., Grandi, F., Pellicciari, M.: Benchmarking of tools for user eXperience analysis in industry 40. Proc. Manufact. 11, 80–813 (2017)
Demirel, H.O., Duffy, V.G.: Applications of digital human modeling in industry. In: Duffy, V.G. (ed.) Digital Human Modeling, pp. 824–832. Springer, Heidelberg (2007)
Chaffin, D.B.: Digital Human Modeling for Vehicle and Workplace Design. SAE International, pp. 82–87 (2001)
Acknowledgments
This research has been developed thanks to the project “CREAM: human-CentREd Agricultural Machinery product and process design” (CUP E18C1500031000) supported by CNH Industrial and the Emilia Romagna region, in Italy.
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Peruzzini, M., Grandi, F., Pellicciari, M., Campanella, C.E. (2019). User Experience Analysis Based on Physiological Data Monitoring and Mixed Prototyping to Support Human-Centre Product Design. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 777. Springer, Cham. https://doi.org/10.1007/978-3-319-94706-8_44
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DOI: https://doi.org/10.1007/978-3-319-94706-8_44
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