Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Scopus Citations
View graph of relations

Detail(s)

Original languageEnglish
Title of host publicationEG-ICE 2021 Proceedings
Subtitle of host publicationWorkshop on Intelligent Computing in Engineering
EditorsJimmy Abualdenien, André Bormann, Lucian Constantin Ungureanu, Timo Hartmann
PublisherUniversitätsverlag der TU Berlin
Pages270-280
ISBN (electronic)978-3-7983-3212-6
ISBN (print)978-3-7983-3211-9
Publication statusPublished - Jun 2021

Publication series

NameEG-ICE Workshop on Intelligent Computing in Engineering, Proceedings

Conference

Title28th International Workshop on Intelligent Computing in Engineering of the European Group for Intelligent Computing in Engineering, EG-ICE 2021
CityVirtual, Online
Period30 June - 2 July 2021

Abstract

Hazard-identification experience is a kind of tacit knowledge which is difficult to be extracted from experienced subjects and to be described explicitly in the text. Researchers have applied eye-tracking technology in eliciting the cognitive processes of experienced workers while performing the hazard-identification task. However, the image-based tasks in previous studies are substantially different from how the hazards are perceived on the construction site. To improve the ecological validity of the hazard-identification task, this study develops panoramic VR scenarios of various job sites as the stimulus, and both experienced safety supervisors and students are invited to identify hazards in the virtual sites. Their performances and eye-movement data are compared. The results show the experienced allocate more attention to hazardous areas instead of unimportant things, and they inspect more details which are ignored by the novice. The identified differences may be incorporated into the training courses to educate the hazard-identification of the novice.

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment. / Ouyang, Yewei; Luo, Xiaowei.
EG-ICE 2021 Proceedings: Workshop on Intelligent Computing in Engineering . ed. / Jimmy Abualdenien; André Bormann; Lucian Constantin Ungureanu; Timo Hartmann. Universitätsverlag der TU Berlin, 2021. p. 270-280 (EG-ICE Workshop on Intelligent Computing in Engineering, Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review