A Study of Forecasting User Experience Design Model of Virtual Reality Bike

VR 자전거의 사용자 경험 설계 모델 예측에 관한 연구

  • Received : 2018.07.11
  • Accepted : 2018.11.20
  • Published : 2018.11.28


By conducting multiple regression analysis, we analyzed the major independent factors affecting user convenience and emotional factors, and identified the important functional elements in the design of the VR device, so that the functional elements to be developed can be grasped in advance. As a result of the study, satisfaction of handling of VR bicycle and satisfaction of speed control by paddling were considered as the most important technical factors as independent factors which have the greatest influence on user convenience and emotional factor among technical satisfaction. Also, it is possible to increase the probabilities of successful design by setting a model that predicts user convenience and the emotional part from the technical factors.


User Experience Design;Multiple Regression Analysis;Usabirity;Virtual Reality;VR Bike

DJTJBT_2018_v16n11_167_f0001.png 이미지

Fig. 1. Multiple Regression Analysis Procedure.

DJTJBT_2018_v16n11_167_f0002.png 이미지

Fig. 2. The Effect of 'Performance' on 'Usability' and' Emotion'.

Table 1. Evaluation Elements of VR Bike

DJTJBT_2018_v16n11_167_t0001.png 이미지

Table 2. Resulting Multiple Regression Equation of Usability

DJTJBT_2018_v16n11_167_t0002.png 이미지

Table 3. Resulting Emotional Values form Multiple Regression Analysis

DJTJBT_2018_v16n11_167_t0003.png 이미지

Table 4. Resulting Usability Values form Multiple Regression Analysis

DJTJBT_2018_v16n11_167_t0004.png 이미지

Table 5. Resulting Emotional Values form Multiple Regression Analysis

DJTJBT_2018_v16n11_167_t0005.png 이미지


  1. M. Kim, J. Kang & M. S. Jun. (2016). Market and Technical Trends of VR Technologies. Korea Journal of Contents, 14(4), 14-16.
  2. Korea Institute of Science and Technology Information. (2013). White paper on future technologies. 502.
  3., Accessed on 20 January 2017.
  4. Y. Kim & H. Y. Ryoo. (2006). Assessing the usability of a virtual reality system's user interface. Korea Digital Design Council, 12, 341-350.
  5. S. Han. (2016). Quantitative analysis of display fatigue induced by 2D, 3D videos. The journal of digital convergence, 14(3), 329-335.
  6. S. J. Han, S. Kim, J. H. Cho & K. C. Koo. (2017). Ergonomic Evaluation of Indoor Bike Coordinated with Virtual Images. The Journal of Digital Policy & Management, 15(5), 443-451.
  7. S. U. Kim, K. Lee, J. H. Cho, K. C. Koo & S. B. Kim. (2017). Toward an Evaluation Model of User Experiences on Virtual Reality Indoor Bikes. European Scientific Journal, S.E, 1857-7881.
  8. J. Park, & S. H. Han. (2013). Defining user value: A case study of a smartphone. International Journal of Industrial Ergonomics, 43, 274-282.
  9. E. Kim & S. Kim. (2017). A Study on the User Experience of Smartphone Camera Application. Journal of the Korea Convergence Society, 8(12), 221-226.
  10. J. Park, S. H. Han, H. K. Kim, H. Moon & J. Park. (2015). Developing and verifying a questionnaire for evaluating user value of a mobile device. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(16), 724-739.
  11. A. G. Sutcliffe & K. Deol Kaur. (2000). Evaluating the usability of virtual reality user interfaces. Behaviour & Information Technology, 19(6), 415-426.
  12. Y. W. Song. (2009). Selection Methods of Customer Attributes for QFD Application, Journal of Science Research, 7(1), 1-8.
  13. H. G. Lee & S. B. Lee. (2003). A Study of HOQ Complexity Reduction by Quantification Method of Type3, Journal of the Korean society for Quality Management, 31(2), 131-142.
  14. H. S. Park & M. R. Lee. (2007). Application of Quality Function Deployment to Ergonomic Design of a Plier, Journal of the Ergonomics Society of Korea, 26(4), 85-90.
  15. J. H. Park & S. G. Kim. (2012). Development of Accident Forecasting Models in Freeway Tunnels using Multiple Linear Regression Analysis. The Journal of The Korea Institute of Intelligent Transport Systems, 11(6), 145-154.
  16. K. S. Kim, S. H. Baek & S. S. Chung. (2012). ALC hardness Prediction by Mulitiple Regression Analysis. Asia Pacific Journal of Business Venturing and Enterpreneurship, 7(2), 103-111.
  17. S. Yang. (2016). Convergence Analysis of Factors Influencing the End-of-life Care Attitude in Undergraduate Nursing Students. Journal of the Korea Convergence Society, 7(4), 141-154
  18. Robert J. Friedrich. (1982). In Defense of Multiplicative Terms in Multiple Regression Equations. University of Texas Press, 26(4), 797-833.