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author:

Xu, Zheng (Xu, Zheng.) [1] | Yang, Tao (Yang, Tao.) [2] | Chen, Yongjian (Chen, Yongjian.) [3]

Indexed by:

SSCI EI Scopus SCIE

Abstract:

Virtual reality technology has shown potential for rehabilitation training, and spatial presence and flow experience have emerged as two important factors for explaining the virtual reality experience. We designed a new non-immersive upper limb rehabilitation training system to analyze the effects of spatial presence and flow on the user experience in virtual reality and its acceptance of technology using a technology acceptance model. This study's results showed that spatial presence has no significant effect on perceived usefulness (beta = 0.102, p = 0.062), some degree of positive effect on perceived ease of use (beta = 0.197, p = 0.010), and a significant positive effect on the flow experience (beta = 0.535, p < 0.001). Flow experience influenced attitude and behavioral intention at different levels (beta = 0.144, p = 0.001; 8 = 0.372, p < 0.001), and 76.9% and 78.2% variance were observed in user attitude and behavioral intention, respectively. In a multi-group analysis, the results showed that females were more susceptible to spatial presence, whereas males' attitudes toward the system were more susceptible to the flow experience. Good spatial presence will improve flow experience and positively influence the continuous use of rehabilitation training.

Keyword:

Flow experience Spatial presence Technology acceptance model Upper limb training Virtual reality

Community:

  • [ 1 ] [Xu, Zheng]Fujian Univ Technol, Sch Design, Fuzhou 350118, Peoples R China
  • [ 2 ] [Yang, Tao]Fujian Univ Technol, Sch Design, Fuzhou 350118, Peoples R China
  • [ 3 ] [Chen, Yongjian]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Xu, Zheng]Fujian Univ Technol, Sch Design, Fuzhou 350118, Peoples R China;;

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Source :

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS

ISSN: 0169-8141

Year: 2024

Volume: 101

2 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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