Towards a Better Understanding of Gaze Behavior in the Automobile

Chuang, Lewis L; Bülthoff, Heinrich H

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Towards a Better Understanding of Gaze Behavior in the Automobile

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Chuang, Lewis L
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff, Heinrich H
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.auto-ui.org/15/p/workshops/2/8_Towards%20a%20Better%20Understanding%20of%20Gaze%20Behavior%20in%20the%20Automobile_Chuang.pdf
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Citation

Chuang, L. L., & Bülthoff, H. H. (2015). Towards a Better Understanding of Gaze Behavior in the Automobile. In Workshop on Practical Experiences in Measuring and Modeling Drivers and Driver-Vehicle Interactions In conjunction with AutomotiveUI 2015 (pp. 1-4).

Cite as: https://hdl.handle.net/21.11116/0000-0000-AED4-D

Abstract

Gaze-tracking technology is used increasingly to determine how and which information is accessed and processed in a given interface environment, such as in-vehicle information systems in automobiles. Typically, fixations on regions of interest (e.g., windshield, GPS) are treated as an indication that the underlying information has been attended to and is, thus, vital to the task. Therefore, decisions such as optimal instrument placement are often made on the basis of the distribution of recorded fixations. In this paper, we briefly introduce gaze-tracking methods for in-vehicle monitoring, followed by a discussion on the relationship between gaze and user-attention. We posit that gaze-tracking data can yield stronger insights on the utility of novel regions- of-interests if they are considered in terms of their deviation from basic gaze patterns. In addition, we suggest how EEG recordings could complement gaze-tracking data and raise outstanding challenges in its implementation. It is contended that gaze-tracking is a powerful tool for understanding how visual information is processed in a given environment, provided it is understood in the context of a model that first specifies the task that has to be carried out.