This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver’s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers’ distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.
CITATION STYLE
Chen, W., & Liu, W. (2019). HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11596 LNCS, pp. 92–102). Springer Verlag. https://doi.org/10.1007/978-3-030-22666-4_7
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