Research on Human–Machine Motion-Sensing Factors of Large VR Amusement Equipment Based on AHP Algorithm
The motion-sensing research of large VR amusement equipment mainly includes two aspects of product hardware and product motion content. At present, the equipment experience of this category has the characteristics of diversity and complexity. This paper proposes a model based on analytic hierarchy process (AHP) to explore the key factors leading to poor experience. Firstly, APH is introduced to classify the factors of motion-sensing factors to quantify the influencing factors and select the main factors that cause bad experience. Secondly, the experimental results are compared to verify the accuracy of the ranking of the influencing factors in the model. The research shows that the influence of product motion content factors on the sense of body is greater than the hardware characteristics of the product, but the research results have certain limitations.
KeywordsLarge VR amusement equipment Analytic hierarchy process (AHP) Human–machine motion-sensing factors
This work is supported by the State Administration of Press, Publication, Radio, Film and Television, Publishing and Development (East China Normal University) Key Laboratory Open Project Fund Project (No. ECNUP-KF201806), Shanghai Science Education Development Foundation Funded Project (No. 2201802), Shanghai Design IV Summit Open Fund Funded Project (No. DA18302).
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