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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | EG-ICE 2021 Proceedings |
Subtitle of host publication | Workshop on Intelligent Computing in Engineering |
Editors | Jimmy Abualdenien, André Bormann, Lucian Constantin Ungureanu, Timo Hartmann |
Publisher | Universitätsverlag der TU Berlin |
Pages | 270-280 |
ISBN (electronic) | 978-3-7983-3212-6 |
ISBN (print) | 978-3-7983-3211-9 |
Publication status | Published - Jun 2021 |
Publication series
Name | EG-ICE Workshop on Intelligent Computing in Engineering, Proceedings |
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Conference
Title | 28th International Workshop on Intelligent Computing in Engineering of the European Group for Intelligent Computing in Engineering, EG-ICE 2021 |
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City | Virtual, Online |
Period | 30 June - 2 July 2021 |
Link(s)
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).
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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review