The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems

نویسندگان

  • Dawei Jia
  • Asim Bhatti
  • Saeid Nahavandi
چکیده

This study developed and tested a research model which examined the impact of user perceptions of self-efficacy and virtual environment (VE) efficacy on the effectiveness of VE training systems. The model distinguishes between the perceptions of one’s own capability to perform trained tasks effectively and the perceptions of system performance, regarding the established parameters from literature. Specifically, the model posits that user perceptions will have positive effects on task performance and memory. 76 adults participated in a VE in a controlled experiment, designed to empirically test the model. Each participant performed a series of object assembly tasks. The task involved selecting, rotating, releasing, inserting and manipulating 3D objects. Initially, results of factor analysis demonstrated dimensionality of two user perception measures and produced a set of empirical validated factors underlining the VE efficacy. Results of regression analysis revealed that self-efficacy had significant positive effect on perceived VE efficacy. No significant effects were found of perceptions on performance and memory. Furthermore, the study provided insights into the relationships between the perceptions measures and performance measures for assessing VE training systems efficacy. The study also addressed how well users learn, perform, adapt to and perceive the VE training, which provides valuable insight into the system efficacy. Research and practical implications are presented at the end of the paper.

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عنوان ژورنال:
  • Behaviour & IT

دوره 33  شماره 

صفحات  -

تاریخ انتشار 2014