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

Jia, Dawei, Bhatti, Asim and Nahavandi, Saeid 2012, The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems, Behaviour & information technology, vol. iFirst article, pp. 1-20.

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Title The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems
Author(s) Jia, Dawei
Bhatti, Asim
Nahavandi, Saeid
Journal name Behaviour & information technology
Volume number iFirst article
Start page 1
End page 20
Total pages 20
Publisher Taylor & Francis
Place of publication Colchester, England
Publication date 2012-06-27
ISSN 0144-929X
Keyword(s) human-virtual environment interaction
learning outcomes
training evaluation
performance
perceptions
memory
Summary This study developed and tested a research model which examined the impact of user perceptions of self-efficacy (SE) 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. Seventy-six 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, the results of factor analysis demonstrated dimensionality of two user perception measures and produced a set of empirical validated factors underlining the VE efficacy. The results of regression analysis revealed that SE had a 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 perception measures and performance measures for assessing the efficacy of VE training systems. 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.
Language eng
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, Taylor & Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049676

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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