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http://dx.doi.org/10.5392/IJoC.2019.15.1.001

Determinants of User Satisfaction with Mobile VR Headsets: The Human Factors Approach by the User Reviews Analysis and Product Lab Testing  

Choi, Jinhae (Cockpit System R&D Division, Denso Corp.)
Lee, Katie Kahyun (Graduate School of Information, Yonsei University)
Choi, Junho (Graduate School of Information Yonsei University)
Publication Information
International Journal of Contents / v.15, no.1, 2019 , pp. 1-9 More about this Journal
Abstract
Since the VR market is expected to have a high growth, this study aimed to investigate the human factor-related determinants of user satisfaction with mobile VR headsets. A pre-study of customer reviews was conducted with the help of semantic network analysis to identify the core keywords for understanding negative and positive predictors of mobile VR headset experiences. Through laboratory testing with three different commercial models, the main study measured and identified the predictors of user satisfaction. From the results, five factors were extracted as valid predictor variables and used for regression analysis. These factors were immersion, VR sickness, usability, wear-ability and menu navigation interface. All the five predictors were proved to be significant determinants of the perceived user satisfaction with mobile VR headsets. Usability was the strongest predictor, followed by VR sickness and wear-ability. Practical and theoretical implications of the results were discussed.
Keywords
Mobile VR; Head Mounted Display; Human Factors; HCI; Semantic Network Analysis; Usability;
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