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

최준호|Jinhae Choi|Katie Kahyun Lee
한국콘텐츠학회 (The Korea Contents Association)|2019.03|International Journal of Contents|제15권 제1호|pp. 1-9|DOI https://doi.org/10.5392/IJoC.2019.15.1.001

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참고문헌

키워드

UsabilitySemantic Network AnalysisHCIHead Mounted DisplayMobile VRHuman Factors
주제분류컴퓨터학

초록

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

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

참고문헌 (47)

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