Exploring Mixed-Reality for Enhancing Driver Warning Systems: A Preliminary Study on Attention-Shifting Methods and Hazard Perception

Author:

Ma Shih-Yu1ORCID,Brady Nolan Robert2ORCID,Han Xu2ORCID,Yu Neng-Hao3ORCID,Yeh Tom2ORCID

Affiliation:

1. Department of Design, National Taiwan University of Science and Technology, Taiwan and Department of Computer Science, University of Colorado Boulder, United States

2. Department of Computer Science, University of Colorado Boulder, United States

3. Department of Design, National Taiwan University of Science and Technology, Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

ACM

Reference22 articles.

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3. Britton Chance , Endla Anday , Shoko Nioka , Shuoming Zhou , Long Hong , Katherine Worden , C Li , T Murray , Y Ovetsky , D Pidikiti , 1998. A novel method for fast imaging of brain function, non-invasively, with light. Optics express 2, 10 ( 1998 ), 411–423. Britton Chance, Endla Anday, Shoko Nioka, Shuoming Zhou, Long Hong, Katherine Worden, C Li, T Murray, Y Ovetsky, D Pidikiti, 1998. A novel method for fast imaging of brain function, non-invasively, with light. Optics express 2, 10 (1998), 411–423.

4. Design of lane keeping system using adaptive model predictive control

5. Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications

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