Assessing drivers' visual-motor coordination using eye tracking, GNSS and GIS: a spatial turn in driving psychology

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Sun, Qian (Chayn)Department of Spatial Sciences, Curtin University, Perth, Australia (author)

Assessing drivers' visual-motor coordination using eye tracking, GNSS and GIS : a spatial turn in driving psychology

Article/chapterEnglish2016

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2016-05-04
Taylor & Francis,2016
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LIBRIS-ID:oai:DiVA.org:hj-34121
https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-34121URI
https://doi.org/10.1080/14498596.2016.1149116DOI

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Language:English
Summary in:English

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

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Vehicle-driving in real traffic can be considered as a human-machine system involving not only the attribute of the vehicle movement but also the human visual perception, cognition and motion of the driver. The study of driving behaviours, therefore, would integrate information related to driver psychology, vehicle dynamics and road information in order to tackle research questions concerning driving safety. This paper describes a conceptual framework and an integrated GIS data model of a visual-motor coordination model (VMCM) to investigate drivers' driving behaviour via the combination of vision tracking and vehicle positioning. The eye tracker recorded eye fixations and duration on video images to exhibit the drivers' visual search pattern and the traffic scenes. Real-time kinematic (RTK) post-processing of multi-GNSS (global navigation satellite system) tracking generated the vehicle movement trajectory at centimeter-level accuracy, which encompasses precise lateral positioning and speed control parameters of driving behaviours. The eye fixation data were then geocoded and linked to the vehicle movement trajectory to represent the VMCM on the GIS platform. An implementation prototype of the framework and the VMCM for a study of older drivers is presented in this paper. The spatial-temporal visualisation and statistical analysis based on the VMCM data-set allow for a greater insight into the inherent variability of older drivers' visual search and motor behaviours. The research framework has demonstrated a discriminant and ecologically valid approach in driving behaviour assessment, which can also be used in studies for other cohort populations with modified driving scenarios or experiment designs.

Subject headings and genre

SAMHÄLLSVETENSKAP Psykologi hsv//swe
SOCIAL SCIENCES Psychology hsv//eng
Driving behaviour; eye tracking; multi-GNSS RTK; visual-motor coordination model (VMCM)

Added entries (persons, corporate bodies, meetings, titles ...)

Xia, Jianhong (Cecilia)Department of Spatial Sciences, Curtin University, Perth, Australia (author)
Nadarajah, NandakumaranDepartment of Spatial Sciences, Curtin University, Perth, Australia (author)
Falkmer, TorbjörnJönköping University,HHJ. CHILD,HHJ, Avdelningen för rehabilitering,School of Occupational Therapy and Social Work, Curtin University, Perth, Australia(Swepub:hj)FaTo (author)
Foster, JonathanSchool of Psychology and Speech Pathology, Curtin University, Perth, Australia (author)
Lee, HoeSchool of Occupational Therapy and Social Work, Curtin University, Perth, Australia (author)
Department of Spatial Sciences, Curtin University, Perth, AustraliaHHJ. CHILD (creator_code:org_t)

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In:Journal of Spatial Science: Taylor & Francis61:2, s. 299-3161449-85961836-5655

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By the author/editor: Sun, Qian (Chayn ...; Xia, Jianhong (C ...; Nadarajah, Nanda ...; Falkmer, Torbjör ...; Foster, Jonathan; Lee, Hoe

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SOCIAL SCIENCES: SOCIAL SCIENCES; and Psychology

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By the university: Jönköping University

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