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http://dx.doi.org/10.14400/JDC.2018.16.11.167

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

Cho, Jae-Hyung (Dankook University)
Koo, Kyo-Chan (Dankook University)
Han, Seung-Jo (Agency for Defense Development)
Kim, Sun-Uk (Dankook University)
Publication Information
Journal of Digital Convergence / v.16, no.11, 2018 , pp. 167-175 More about this Journal
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.
Keywords
User Experience Design; Multiple Regression Analysis; Usabirity; Virtual Reality; VR Bike;
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Times Cited By KSCI : 5  (Citation Analysis)
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