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논문 기본 정보

저자정보
(Hongik University) (Hongik University, Department of Industrial Engineering) (Hongik University) (Hongik University)
저널정보
대한인간공학회 대한인간공학회지 대한인간공학회지 제36권 제4호
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    초록·키워드

    Objective: The aim of this study is to investigate key user experience factors of interactions for Head Mounted Display (HMD) devices in the Virtual Reality Environment (VRE).
    Background: Virtual reality interaction research has been conducted steadily, while interaction methods and virtual reality devices have improved. Recently, all of the virtual reality devices are head mounted display based ones. Also, HMD-based interaction types include Remote Controller, Head Tracking, and Hand Gesture. However, there is few study on usability evaluation of virtual reality. Especially, the usability of HMD-based virtual reality was not investigated. Therefore, it is necessary to study the usability of HMD-based virtual reality.
    Method: HMD-based VR devices released recently have only three interaction types, ‘Remote Controller’, ‘Head Tracking’, and ‘Hand Gesture’. We search 113 types of research to check the user experience factors or evaluation scales by interaction type. Finally, the key user experience factors or relevant evaluation scales are summarized considering the frequency used in the studies.
    Results: There are various key user experience factors by each interaction type. First, Remote controller’s key user experience factors are ‘Ease of learning’, ‘Ease of use’, ‘Satisfaction’, ‘Effectiveness’, and ‘Efficiency’. Also, Head tracking’s key user experience factors are ‘Sickness’, ‘Immersion’, ‘Intuitiveness’, ‘Stress’, ‘Fatigue’, and ‘Ease of learning’. Finally, Hand gesture’s key user experience factors are ‘Ease of learning’, ‘Ease of use’, ‘Feedback’, ‘Consistent’, ‘Simple’, ‘Natural’, ‘Efficiency’, ‘Responsiveness’, ‘Usefulness’, ‘Intuitiveness’, and ‘Adaptability’.
    Conclusion: We identified key user experience factors for each interaction type through literature review. However, we did not consider objective measures because each study adopted different performance factors.
    Application: The results of this study can be used when evaluating HMD-based interactions in virtual reality in terms of usability.

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