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.

A Multi-disciplinary Assessments Tool for Human-Machine Interaction / Peruzzini, Margherita; Grandi, Fabio; Pellicciari, Marcello; Berselli, Giovanni; Andrisano, Angelo Oreste. - (2020), pp. 741-752. [10.1007/978-3-030-31154-4_63]

A Multi-disciplinary Assessments Tool for Human-Machine Interaction

Peruzzini, Margherita
;
Grandi, Fabio;Pellicciari, Marcello;Berselli, Giovanni;Andrisano, Angelo Oreste
2020

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.
2020
24-set-2019
Design Tools and Methods in Industrial Engineering
Caterina Rizzi, Angelo Oreste Andrisano, Francesco Leali, Francesco Gherardini, Fabio Pini, Alberto Vergnano
9783030311537
SPRINGER INTERNATIONAL PUBLISHING AG
SVIZZERA
A Multi-disciplinary Assessments Tool for Human-Machine Interaction / Peruzzini, Margherita; Grandi, Fabio; Pellicciari, Marcello; Berselli, Giovanni; Andrisano, Angelo Oreste. - (2020), pp. 741-752. [10.1007/978-3-030-31154-4_63]
Peruzzini, Margherita; Grandi, Fabio; Pellicciari, Marcello; Berselli, Giovanni; Andrisano, Angelo Oreste
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1181224
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