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Accepted for/Published in: JMIR Serious Games

Date Submitted: May 2, 2019
Date Accepted: Nov 29, 2019
Date Submitted to PubMed: Dec 5, 2019

The final, peer-reviewed published version of this preprint can be found here:

The Adoption of a Virtual Reality–Assisted Training System for Mental Rotation: A Partial Least Squares Structural Equation Modeling Approach

Chang CW, Yeh SC, Li M

The Adoption of a Virtual Reality–Assisted Training System for Mental Rotation: A Partial Least Squares Structural Equation Modeling Approach

JMIR Serious Games 2020;8(1):e14548

DOI: 10.2196/14548

PMID: 31804184

PMCID: 6996766

Acceptance of a Novel VR-Assisted Training System for Mental Rotation: A PLS-SEM Approach

  • Chen-Wei Chang; 
  • Shih-Ching Yeh; 
  • Mengtong Li

ABSTRACT

Background:

Mental rotation is a cognition related to spatial ability and career developments in STEM-related fields. It can be enhanced by using VR-assisted training technology to practice MR tasks.

Objective:

This study created a theoretical model to explain the processes of accepting a novel VR-assisted training system for mental rotation, in hopes to better understand how to encourage learners to use it to enhance their spatial ability.

Methods:

Stereo and Interactive Mental Rotation Tasks (SIMRT) based on Shepard and Metzler’s pencil and paper-test for MR ability were created. The participants conducted a set of MR tasks by using a 3D glasses/stereoscopic display and a six-degrees-of-freedom joystick controller. Followed by the practice, psychometric constructs from theories and prior studies (i.e., perceived-ease-of-use, perceived enjoyment, attitude, satisfaction, behavioral intention to use the system) were used to measure relevant factors influencing behavior intentions.

Results:

The statistical technique of partial least square – structural equation modeling (PLS-SEM) was applied to analyze the data. The model explained 47.7% in the novel, VR-assisted MR training system’s adoption intention, which suggested a moderate explanatory power. Direct and indirect effects were also interpreted.

Conclusions:

Theoretical contributions and future studies in VR-assisted education/training are discussed. Implications for educators and technology developers regarding the application of VR technology for mental rotation are also provided in the paper.


 Citation

Please cite as:

Chang CW, Yeh SC, Li M

The Adoption of a Virtual Reality–Assisted Training System for Mental Rotation: A Partial Least Squares Structural Equation Modeling Approach

JMIR Serious Games 2020;8(1):e14548

DOI: 10.2196/14548

PMID: 31804184

PMCID: 6996766

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