User Experience in Immersive VR-Based Serious Game: An Application in Highly Automated Driving Training

被引:6
作者
Ebnali, Mahdi [1 ]
Kian, Cyrus [2 ]
Ebnali-Heidari, Majid [3 ]
Mazloumi, Adel [4 ]
机构
[1] Univ Buffalo, Ind & Syst Engn Dept, Appl Cognit Engn Lab, Buffalo, NY 14260 USA
[2] Cornell Univ, Dept Informat Sci, Ithaca, NY USA
[3] Shahrekord Univ, Elect Engn Dept, Shahrekord, Iran
[4] Univ Tehran Med Sci, Sch Publ Hlth, Dept Occupat Hlth Engn, Tehran, Iran
来源
ADVANCES IN HUMAN FACTORS OF TRANSPORTATION | 2020年 / 964卷
关键词
Highly automated driving; Immersive training; Serious game; Virtual Reality; Usability; Mental model; ADAPTIVE CRUISE CONTROL; BEHAVIOR; TRUST; MODEL; ACC;
D O I
10.1007/978-3-030-20503-4_12
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
In the way of smoothing driver interaction with highly automated vehicles, we designed an immersive (VR + serious game) training program with a focus on improving drivers' mental model. Then, we tackled the usability flaws and upgraded the preliminary serious game (PSG) to usability-improved serious game (USG). Three groups of participants-no-training, PSG and USG-were tested to explore the effects of immersive training on drivers performance and experiences in highly automated driving. The results showed that both training programs significantly improved driving performance and resulted in faster takeover time (TOT), longer time-to-collision (TTC), and fewer number of the collision. Moreover, the participants in training groups reported less erratic acceptance and more calibrated trust compared to the control group. Although improving usability in USG led to better flow experience (enjoyment and engagement) and lower cognitive load during the learning process, it did not contribute significantly to training transferability.
引用
收藏
页码:133 / 144
页数:12
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