Abstract
Human-centered design is based on the satisfaction of the user needs mainly related to performances, interaction, usability, accessibility, and visibility issues. However, the quality of the interaction process is hidden and usually difficult to detect. The paper proposes a multi-disciplinary assessment tool for the evaluation of the human-machine interaction, based on the collection of physiological data and anthropometrical performance data. Such a method can be used both within on-field tests and virtual simulations, supporting the spread of digital approaches in industry. The methodology allows objectifying how users interact with machine or interface items, thanks to the collection of the users’ performance during task execution, the digitalization of collected data, and the evaluation of users’ physical and mental workload. Such a system has been applied to an industrial case study focusing on agricultural machinery driving and control to support the system re-design in terms of interface features, commands’ location and grouping, and positioning of additional devices.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Yerkes, R.M., Dodson, J.D.: The relationship of strength of stimulus to rapidity of habit formation. J. Comput. Neurol. Psychol. 18, 459–482 (1908)
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)
Dempsey, P.G.: Usability of the revised NIOSH lifting equation. Ergonomics 45(12), 817–828 (2002)
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)
Bashiri, B., Mann, D.D.: Automation and the situation awareness of drivers in agricultural semi-autonomous vehicles. Biosys. Eng. 124, 8–15 (2014)
Grandi, F., Zanni, L., Peruzzini, M., Pellicciari, M., Campanella, C.E.: A transdisciplinary digital approach for tractor’s human-centred design. Int. J. Comput. Integr. Manuf., 1–17 (2019, in press)
Peruzzini, M., Tonietti, M., Iani, C.: Transdisciplinary Design Approach Based On Driver’s Workload Monitoring. J. Ind. Inf. Integr. (2019, in press)
Tilley, A.R., Dreyfuss, H.: The Measure of Man and Woman: Human Factors in Design. Wiley, Chichester (2001)
Peruzzini, M., Grandi, F., Pellicciari, M.: Benchmarking of tools for user experience analysis in Industry 4.0. Procedia Manuf. 11, 806–813 (2017)
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)
Acknowledgements
This research has been carried out using the research facilities of the UNIMORE INTERMECH MO.RE. centre, funded with a grant from the Emilia Romagna High Technology Network within the project entitled “CREAM: human-CentREd Agricultural Machinery product and process design” (CUP E18C1500031000).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Peruzzini, M., Grandi, F., Pellicciari, M., Berselli, G., Andrisano, A.O. (2020). A Multi-disciplinary Assessments Tool for Human-Machine Interaction. In: Rizzi, C., Andrisano, A.O., Leali, F., Gherardini, F., Pini, F., Vergnano, A. (eds) Design Tools and Methods in Industrial Engineering. ADM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31154-4_63
Download citation
DOI: https://doi.org/10.1007/978-3-030-31154-4_63
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31153-7
Online ISBN: 978-3-030-31154-4
eBook Packages: EngineeringEngineering (R0)