Reliability of distance estimation in virtual reality space: A quantitative approach for construction management

  • Kang, Julian H.; 
  • Yadav, Neeraj; 
  • Ramadoss, Siva; 
  • Yeon, Jaeheum
Citations

WEB OF SCIENCE

15
Citations

SCOPUS

19

초록

This paper reports a study aimed at assessing the reliability of decision-making for construction management based on visual observation of the built environment in virtual reality. The focus of this study is on egocentric distance perception, a critical factor in construction management decisions based on visual observation. The study evaluates the accuracy of distance estimation and walking a target distance in virtual reality, as compared to the real world, through experiments. The experimental results demonstrate that participants consistently underestimate distance and walk beyond the target distance. Notably, in virtual reality, they underestimated the distance by 22% more than they did in the real world, and they overwalked 53% more than they did in the real world. These findings offer valuable insights for construction managers reviewing digital twin models in virtual reality to make informed decisions. Furthermore, this study lays a foundation for future research on the reliability of understanding space occupancy in virtual reality.

키워드

Virtual reality; Egocentric distance perception; Distance estimation; Artificial locomotion; Omnidirectional treadmill; HEAD-MOUNTED DISPLAYS; DEPTH-PERCEPTION; AUGMENTED REALITY; SCALE; JUDGMENTS; UNDERESTIMATION; ENVIRONMENTS; GRAPHICS; QUALITY
제목
Reliability of distance estimation in virtual reality space: A quantitative approach for construction management
저자
Kang, Julian H.; Yadav, Neeraj; Ramadoss, Siva; Yeon, Jaeheum
DOI
10.1016/j.chb.2023.107773
발행일
2023-08
유형
Article
저널명
Computers in Human Behavior
권
145