Abstract
Driving attention is one of the most important factors in safe driving. Due to the danger during the training process, it is hard to train a driver to improve their attention in the driving behavior. In this paper, a personalized driving attention training plan generation method was proposed based on virtual reality platform. Based on the technique of eye tracking on the VR platform, gathering the attention habits of users, considering the driving behaviors, the method was arranged to generate personalized driving attention training plan automatically. In the experiment, the personalized driving attention training of users was carried out according to the generated training plan. Comparing the performance before training with the performance after the training, the effectiveness of the new method was evaluated. Experimental results show that the proposed method can effectively improve the user's driving attention level and perform better than traditional method.
| Translated title of the contribution | Personalized Training Plan Generation for Improving Driving Attention |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 765-773 |
| Number of pages | 9 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 41 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2021 |
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