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.
User experience analysis based on physiological data monitoring and mixed prototyping to support human-centre product design / Peruzzini, Margherita; Grandi, Fabio; Pellicciari, Marcello; Campanella, Claudia Elisabetta. - 777:(2019), pp. 401-412. (Intervento presentato al convegno AHFE International Conference on Ergonomics in Design tenutosi a Orlando, FL nel JUL 21-25, 2018) [10.1007/978-3-319-94706-8_44].
User experience analysis based on physiological data monitoring and mixed prototyping to support human-centre product design
Peruzzini, Margherita;Grandi, Fabio;Pellicciari, Marcello;
2019
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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