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Exploring a Configurable Virtual Environment for the Assessment and Diagnosis of the Driver's Psychophysical State

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mHealth and Human-Centered Design Towards Enhanced Health, Care, and Well-being

Part of the book series: Studies in Big Data ((SBD,volume 120))

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Abstract

Every year, more than one million people die from road accidents. Between 10 and 30% of these accidents are due to human factors, especially drowsiness, stress, and inattention. Determining the psychophysical condition of the driver is important to help prevent those accidents, limit damage to things and people, and even reduce the number of deaths. Today's technology is moving in the analysis of the physiological data necessary to determine these states. However, one of the major problems concerning data collection is conducting the tests in a real-world environment. For this reason, designing and employing a virtual environment that recreates a simulation of real-world’s conditions would enable researchers to obtain reliable and realistic data without putting users at risk. The paper describes the development and validation of a configurable and scalable virtual environment, conceived to help researchers to set up the environment freely according to their research needs. The in-depth analysis explored a normal and an altered environmental condition to investigate and assess the negative parameters responsible for increasing driving inattention. Finally, the outcomes have become the first experimentation to create an AI-based simulator for diagnosing the driver's state of health.

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Authors and Affiliations

  1. Department of Architecture, University of Ferrara, Via Quartieri, 8, 44121, Ferrara, Italy

    Jessica Longhin & Gian Andrea Giacobone

  2. Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Via P. Vivarelli, 10, 41125, Modena, Italy

    Andrea Amidei

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  1. Jessica Longhin
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  2. Andrea Amidei
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Correspondence to Gian Andrea Giacobone .

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Editors and Affiliations

  1. Faculty of Medicine and Health Sciences, Department of Rehabilitation Sciences and Physiotherapy, Center for Health and Technology (CHaT), 4D4ALL Lab, University of Antwerp, Antwerpen, Belgium

    Sofia Scataglini

  2. Dipartimento di Architettura, Università degli Studi di Ferrara, Ferrara, Italy

    Silvia Imbesi

  3. Department of Science and Technology, Polytechnic Institute of Coimbra, Technology and Management School of Oliveira do Hospital, Oliveira do Hospital, Portugal

    Gonçalo Marques

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Longhin, J., Amidei, A., Giacobone, G.A. (2023). Exploring a Configurable Virtual Environment for the Assessment and Diagnosis of the Driver's Psychophysical State. In: Scataglini, S., Imbesi, S., Marques, G. (eds) mHealth and Human-Centered Design Towards Enhanced Health, Care, and Well-being. Studies in Big Data, vol 120. Springer, Singapore. https://doi.org/10.1007/978-981-99-3989-3_11

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  • DOI: https://doi.org/10.1007/978-981-99-3989-3_11

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