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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bian, Yulong Yang, Chenglei Gao, Fengqiang Li, Huiyu Zhou, Shisheng Li, Hanchao Sun, Xiaowen Meng, Xiangxu |
| Copyright Year | 2016 |
| Abstract | Flow experience is often considered as an important standard of ideal user experience (UX). Till now, flow is mainly measured via self-report questionnaires, which cannot evaluate flow immediately and objectively. In this paper, we constructed a physiological evaluation model to evaluate flow in virtual reality (VR) game. The evaluation model consists of five first-level indicators and their respective second-level indicators. Then, we conducted an empirical experiment to test the effectiveness of partial indicators to predict flow experience. Most results supported the model and revealed that heart rate, interbeat interval, heart rate variability (HRV), low-frequency HRV (LF-HRV), high-frequency HRV (HF-HRV), and respiratory rate are all effective indicators in predicting flow experience. Further research should be conducted to improve the evaluation model and conclude practical implications in UX and VR game design. |
| Starting Page | 821 |
| Ending Page | 832 |
| Page Count | 12 |
| File Format | |
| ISSN | 16174909 |
| Journal | Personal Technologies |
| Volume Number | 20 |
| Issue Number | 5 |
| e-ISSN | 16174917 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2016-09-01 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Flow experience Physiological evaluation model User experience Virtual reality game User Interfaces and Human Computer Interaction Computer Science Personal Computing Mobile Computing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture |
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