2021
DOI: 10.1007/s10055-021-00572-9
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Immersive virtual reality as an empirical research tool: exploring the capability of a machine learning model for predicting construction workers’ safety behaviour

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Cited by 17 publications
(12 citation statements)
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“…Fear induction can also be measured using electromyography, which measures the degree of emotional arousal [ 77 ]. Gao et al [ 134 ] measured workers’ personality traits, such as extroversion, agreeableness, conscientiousness, and neuroticism, to predict their safety behavior. This type of assessment appeared in 11.3% of items (11 items), all relating to VR.…”
Section: Results and Analysismentioning
confidence: 99%
“…Fear induction can also be measured using electromyography, which measures the degree of emotional arousal [ 77 ]. Gao et al [ 134 ] measured workers’ personality traits, such as extroversion, agreeableness, conscientiousness, and neuroticism, to predict their safety behavior. This type of assessment appeared in 11.3% of items (11 items), all relating to VR.…”
Section: Results and Analysismentioning
confidence: 99%
“…There is no programming in and ML and it aims to model, predict or control with computer programs using statistical techniques on existing data (Abioye et al, 2021). Various studies have been carried out to identify risks in construction safety and to prevent accidents by using one or more of the ML methods such as Bayesian network, genetic algorithm, neural network and support vector machine (Gao et al, 2022;Koc et al, 2021;Lee et al, 2020;Nayak et al, 2022;Sarkar et al, 2019).…”
Section: Augmented Reality (Ar)mentioning
confidence: 99%
“…Also, VR has great potential for construction workers to protect their safety information (Bhoir and Esmaeili, 2015). Virtual reality can encourage participants' natural behavioral responses by simulating real situations and providing a good grasp of fidelity (Gao et al, 2022). Gao et al (2022), in their study, determined that virtual reality is promising for measuring the safety behavior of construction workers.…”
Section: Research Backgroundmentioning
confidence: 99%
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