Evaluating the attitudes of different trainee groups towards eye tracking enhanced safety training methods

被引:41
作者
Comu, Semra [1 ]
Kazar, Gokhan [1 ,2 ]
Marwa, Zaki [1 ]
机构
[1] Bogazici Univ, Civil Engn Dept, Istanbul, Turkey
[2] Gedik Univ, Civil Engn Dept, Istanbul, Turkey
关键词
Safety training; Virtual environment; Eye tracking; User attitudes; CONSTRUCTION; PROGRAM;
D O I
10.1016/j.aei.2021.101353
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The primary approach to prevent injuries and fatalities on construction sites is to provide effective safety training to all site personnel. In order to develop an effective safety training method, it is critical to consider the attitudes of participants towards the training received. In this regard, the eye movements of three groups of trainees during both a conventional safety training method and a Virtual Reality (VR)-based training method were monitored. The eye-tracking data from five engineers, five workers, and five engineering students were collected to measure their time to first fixation and fixation durations of the three groups of AOIs (Areas of Interests). Accordingly, we identified their reaction to the training stimulus and measured their concentration and adaptation level. The data were analyzed using Mixed ANOVA with the between-subject variable of three different trainee groups and the within-subject variable of training types. The statistical findings showed that the engineers concentrate faster than the workers and the students during all sessions of safety training, and all participants spend more time exploring different AOIs during VR-based safety training. Therefore, it is concluded that the different backgrounds of study groups (e.g., field experience, site role, game experience, and education) play a crucial role in the adaptation and concentration level of the trainees during safety training sessions.
引用
收藏
页数:10
相关论文
共 57 条
[1]   Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality [J].
Albert, Alex ;
Hallowell, Matthew R. ;
Kleiner, Brian ;
Chen, Ao ;
Golparvar-Fard, Mani .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2014, 140 (07)
[2]  
[Anonymous], 1988, Statistical Power Analysis for the Behavioral Sciences
[3]  
[Anonymous], 1999, P SIGCHI C HUM FACT, DOI [10.1145/302979.303118, DOI 10.1145/302979.303118]
[4]   From desktop to supermarket shelf: Eye-tracking exploration on consumer attention and choice [J].
Bialkova, Svetlana ;
Grunert, Klaus G. ;
van Trijp, Hans .
FOOD QUALITY AND PREFERENCE, 2020, 81
[5]  
Borys M., 2017, European Journal of Medical Technologies, V3, P11
[6]  
Chen A., 2013, P COMPUTING CIVIL EN, DOI [10.1061/9780784413029.105, DOI 10.1061/9780784413029.105]
[7]   Characteristic analysis of occupational accidents at small construction enterprises [J].
Cheng, Ching-Wu ;
Leu, Sou-Sen ;
Lin, Chen-Chung ;
Fan, Chihhao .
SAFETY SCIENCE, 2010, 48 (06) :698-707
[8]   Construction safety personnel's perceptions of safety training practices [J].
Demirkesen, Sevilay ;
Arditi, David .
INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2015, 33 (05) :1160-1169
[9]   Serious games for learning prevention through design concepts: An experimental study [J].
Din, Zia Ud ;
Gibson, G. Edward, Jr. .
SAFETY SCIENCE, 2019, 115 :176-187
[10]   Using eye-tracker to compare search patterns between experienced and novice workers for site hazard identification [J].
Dzeng, Ren-Jye ;
Lin, Chin-Teng ;
Fang, Yi-Cho .
SAFETY SCIENCE, 2016, 82 :56-67