文献类型：期刊文献

英文题名：Research on Human–Machine Motion-Sensing Factors of Large VR Amusement Equipment Based on AHP Algorithm

作者：Cong, Wenxu[1,2]; Wang, Shaohua[1,2]; Jiang, Zhengqing[1,2]

机构：[1] College of Art Design and Communication, East China University of Science and Technology, Xuhui District, Shanghai, 200030, China; [2] State Administration of Press, Publication, Radio, Film and Television, Publishing and Convergence Development [East China Normal University] Key Laboratory, Xuhui District, Shanghai, 200030, China

年份：2020

卷号：576

起止页码：855

外文期刊名：Lecture Notes in Electrical Engineering

收录：EI(收录号：20193507387328)

语种：英文

外文关键词：Virtual reality - Hierarchical systems

摘要：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. ? 2020, Springer Nature Singapore Pte Ltd.