Advertisement

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

  • Wenxu Cong
  • Shaohua Wang
  • Zhengqing JiangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 576)

Abstract

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.

Keywords

Large VR amusement equipment Analytic hierarchy process (AHP) Human–machine motion-sensing factors 

Notes

Acknowledgements

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).

References

  1. 1.
    Zhou Y (2014) Application of analytic hierarchy process in network learning evaluation system. Beijing Jiaotong University, pp 156–158Google Scholar
  2. 2.
    Fu W, Wu C (2011) Research on competitive evaluation of domestic airlines based on FAHP method. J Suzhou Univ (Philos Soc Sci) 32(02):131–136Google Scholar
  3. 3.
  4. 4.
    Wu M, Shen W (2018) Analysis of brand competitiveness of fashion bazaar from the perspective of all media. Sci Technol Commun 10(14):48–49Google Scholar
  5. 5.
    Shi L (2015) Research on supplier evaluation based on service spare parts supply chain. Harbin University of Science and TechnologyGoogle Scholar
  6. 6.
    Han G, Fan B (2017) The influence of semantic differences of Likert Scale on scientific measurement. Sci Technol Progr Policy 34(20):1–6Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Art Design and CommunicationEast China University of Science and TechnologyXuhui District, ShanghaiChina
  2. 2.State Administration of Press, Publication, Radio, Film and TelevisionPublishing and Convergence Development (East China Normal University) Key LaboratoryXuhui District, ShanghaiChina

Personalised recommendations