A Jensen-Shannon Divergence Driven Metric of Visual Scanning Efficiency Indicated Performance of Virtual Driving

Zezhong Lv, Qing Xu, Klaus Schoeffmann, Simon Parkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Visual scanning plays an important role in sampling visual information from the surrounding environments for a lot of everyday sensorimotor tasks, such as driving. In this paper, we consider the problem of visual scanning mechanism underpinning sensorimotor tasks in 3D dynamic environments. We exploit the use of eye tracking data as a behaviometric, for indicating the visuo-motor behavioral measure in the context of virtual driving. A new metric of visual scanning efficiency (VSE), which is defined as a mathematical divergence between a fixation distribution and a distribution of optical flows induced by fixations, is proposed by making use of a widely known information theoretic tool, namely the square root of Jensen-Shannon divergence. Psychophysical eye tracking studies, in virtual reality based driving, are conducted to reveal that the new metric of visual scanning efficiency can be employed very well as a proxy evaluation for driving performance. These results suggest that the exploitation of eye tracking data provides an effective behaviometric for sensorimotor activities.
Original languageEnglish
Title of host publicationIEEE International Conference on Multimedia and Expo
Subtitle of host publicationICME 2021
PublisherIEEE
Number of pages6
ISBN (Electronic)9781665438643
ISBN (Print)9781665411523
Publication statusPublished - 9 Jun 2021
Event2021 IEEE International Conference on Multimedia and Expo - Virtual event due to COVID-19, Virtual event
Duration: 5 Jul 20219 Jul 2021
https://2021.ieeeicme.org/

Publication series

NameIEEE Proceedings International Conference on Multimedia and Expo
PublisherIEEE
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

Conference2021 IEEE International Conference on Multimedia and Expo
Abbreviated titleICME 2021
CityVirtual event
Period5/07/219/07/21
Internet address

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