TY - JOUR
T1 - Empirical evidence, evaluation criteria and challenges for the effectiveness of virtual and mixed reality tools for training operators of car service maintenance
AU - Borsci, Simone
AU - Lawson, Glyn
AU - Broome, Simon
PY - 2015/1/1
Y1 - 2015/1/1
N2 - The debate on effectiveness of virtual and mixed reality (VR/MR) tools for training professionals and operators is long-running with prominent contributions arguing that there are several shortfalls of experimental approaches and assessment criteria reported within the literature. In the automotive context, although car-makers were pioneers in the use of VR/MR tools for supporting designers, researchers started only recently to explore the effectiveness of VR/MR systems as mean for driving external operators of service centres to acquire the procedural skills necessary for car maintenance processes. In fact, from 463 journal articles on VR/MR tools for training published in the last thirty years, we identified onl y eight articles in which researchers experimentally tested the effectiveness of VR/MR tools for training service operators' skills. To survey the current findings and the deficiencies of these eight studies, we use two main drivers: (i) a well-known framework of organizational training programmes, and (ii) a list of eleven evaluation criteria widely applied by researchers of different fields for assessing the effectiveness of training carried out with VR/MR systems. The analysis that we present allows us to: (i) identify a trend among automotive researchers of focusing their analysis only on car service operators' performance in terms of time and errors, by leaving unexplored important pre- and post-training aspects that could affect the effectiveness of VR/MR tools to deliver training contents - e.g., people skills, previous experience, cibersickness, presence and engagement, usability and satisfaction and (ii) outline the future challenges for designing and assessing VR/MR tools for training car service operators.
AB - The debate on effectiveness of virtual and mixed reality (VR/MR) tools for training professionals and operators is long-running with prominent contributions arguing that there are several shortfalls of experimental approaches and assessment criteria reported within the literature. In the automotive context, although car-makers were pioneers in the use of VR/MR tools for supporting designers, researchers started only recently to explore the effectiveness of VR/MR systems as mean for driving external operators of service centres to acquire the procedural skills necessary for car maintenance processes. In fact, from 463 journal articles on VR/MR tools for training published in the last thirty years, we identified onl y eight articles in which researchers experimentally tested the effectiveness of VR/MR tools for training service operators' skills. To survey the current findings and the deficiencies of these eight studies, we use two main drivers: (i) a well-known framework of organizational training programmes, and (ii) a list of eleven evaluation criteria widely applied by researchers of different fields for assessing the effectiveness of training carried out with VR/MR systems. The analysis that we present allows us to: (i) identify a trend among automotive researchers of focusing their analysis only on car service operators' performance in terms of time and errors, by leaving unexplored important pre- and post-training aspects that could affect the effectiveness of VR/MR tools to deliver training contents - e.g., people skills, previous experience, cibersickness, presence and engagement, usability and satisfaction and (ii) outline the future challenges for designing and assessing VR/MR tools for training car service operators.
KW - Augmented and virtual reality
KW - Automotive
KW - Service maintenance
KW - Training effectiveness
KW - Training evaluation
KW - n/a OA procedure
UR - http://www.scopus.com/inward/record.url?scp=84920811620&partnerID=8YFLogxK
U2 - 10.1016/j.compind.2014.12.002
DO - 10.1016/j.compind.2014.12.002
M3 - Review article
AN - SCOPUS:84920811620
SN - 0166-3615
VL - 67
SP - 17
EP - 26
JO - Computers in industry
JF - Computers in industry
ER -