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User experience analysis based on physiological data monitoring and mixed prototyping to support human-centre product design

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Citazione:
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. ( AHFE International Conference on Ergonomics in Design Orlando, FL JUL 21-25, 2018) [10.1007/978-3-319-94706-8_44].
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.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Ergonomics; Human-centred design; Human-machine interaction; Mixed prototyping; User experience; Control and Systems Engineering; Computer Science (all)
Elenco autori:
Peruzzini, Margherita; Grandi, Fabio; Pellicciari, Marcello; Campanella, Claudia Elisabetta
Autori di Ateneo:
PELLICCIARI Marcello
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1164417
Titolo del libro:
Advances in Ergonomics in Design
Pubblicato in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Series
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Dati Generali

URL

http://www.springer.com/series/11156
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