Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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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
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Abstract

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.

본 논문에서는 VR 자전거의 성능과 UX 변수의 항목과의 상호 관련성을 다중 회귀분석의 방법을 통하여 제품의 개념 설계 시에 중요시 되는 성능의 인자를 분석한다. 회귀식의 결과로 사용자 편의성과 감정적 요소에 영향을 주는 주요한 독립적 요소를 분석하고 VR 장치의 기구물 설계에서 중요 기능적 요소를 파악하여 품질기능전개를 수행하였다. 이들과의 연관관계는 주관적인 관계점수 대신에 회귀계수를 이용하여 체계적 기능 전개를 수립하였다. 본 논문의 결과로 기술적 만족도 중에서 사용자 편의성과 감정적 요소에 가장 많은 영향을 주는 주요 핵심 품질 기능의 요소로는 VR 자전거의 핸들링에 대한 만족도와 속도 조절에 대한 만족도가 가장 중요한 요소로 분석되었다. 또한, 제품 개발 전에 사용자 편의성과 사용자가 느끼는 감정을 기술적 요소로부터 예측할 수 있는 모델을 설정하여 제품 개발의 성공 가능성을 높일 수 있게 하였다.

Keywords

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Fig. 1. Multiple Regression Analysis Procedure.

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

Table 1. Evaluation Elements of VR Bike

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Table 2. Resulting Multiple Regression Equation of Usability

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Table 3. Resulting Emotional Values form Multiple Regression Analysis

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Table 4. Resulting Usability Values form Multiple Regression Analysis

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Table 5. Resulting Emotional Values form Multiple Regression Analysis

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