Critical Analysis of the Evaluation Methods of Extended Reality (XR) Experiences for Construction Safety.

Autor:	Salinas D; School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile., Muñoz-La Rivera F; School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.; International Centre for Numerical Methods in Engineering (CIMNE), C/Gran Capitán S/N UPC Campus Nord, Edifici C1, 08034 Barcelona, Spain.; School of Civil Engineering, Universitat Politècnica de Catalunya, Carrer de Jordi Girona, 1, 08034 Barcelona, Spain., Mora-Serrano J; International Centre for Numerical Methods in Engineering (CIMNE), C/Gran Capitán S/N UPC Campus Nord, Edifici C1, 08034 Barcelona, Spain.; School of Civil Engineering, Universitat Politècnica de Catalunya, Carrer de Jordi Girona, 1, 08034 Barcelona, Spain.
Jazyk:	angličtina
Zdroj:	International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Nov 18; Vol. 19 (22). Date of Electronic Publication: 2022 Nov 18.
DOI:	10.3390/ijerph192215272
Abstrakt:	The construction industry has high accident rates. The sector is exploring various tools to improve safety management, training, and awareness to achieve zero accidents. This work focuses on extended reality (XR), which encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies. Several authors have developed training experiences for construction safety in XR environments with positive conclusions about their effectiveness. However, there is no standardization regarding the evaluation methods used in the sector, and many experiences do not use any method. This lack is critical, as whenever the aim is to evaluate the degree of awareness of security issues, the implementation of evaluation systems is indispensable to make known the methods used in the literature to evaluate the effectiveness of the experiences and represent support for future research. This research identifies developments in XR experiences and analyzes the validation methods through a systematic review using the PRISMA methodology. It identifies two evaluation methods, objective and subjective, which are each broken down into four categories. The results show the types of evaluation, safety-related purposes, and safety application objectives used by the database classification. Competing Interests: The authors declare no conflicts of interest.
Databáze:	MEDLINE
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