TY - GEN
T1 - Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment
AU - Ouyang, Yewei
AU - Luo, Xiaowei
N1 - 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).
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
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M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 978-3-7983-3211-9
T3 - EG-ICE Workshop on Intelligent Computing in Engineering, Proceedings
SP - 270
EP - 280
BT - EG-ICE 2021 Proceedings
A2 - Abualdenien, Jimmy
A2 - Bormann, André
A2 - Ungureanu, Lucian Constantin
A2 - Hartmann, Timo
PB - Universitätsverlag der TU Berlin
T2 - 28th International Workshop on Intelligent Computing in Engineering of the European Group for Intelligent Computing in Engineering, EG-ICE 2021
Y2 - 30 June 2021 through 2 July 2021
ER -