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A visual comparison of gaze behavior from pedestrians and cyclists
Author(s) -
Mathias Trefzger,
Tanja Blascheck,
Michael Raschke,
Sarah Hausmann,
Thomas Schlegel
Publication year - 2018
Publication title -
proceedings of the 2018 acm symposium on eye tracking research andamp; applications
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3204493.3204553
Subject(s) - gaze , computer science , eye tracking , pedestrian , focus (optics) , computer vision , artificial intelligence , human–computer interaction , engineering , transport engineering , physics , optics
In this paper, we contribute an eye tracking study conducted with pedestrians and cyclists. We apply a visual analytics-based method to inspect pedestrians' and cyclists' gaze behavior as well as video recordings and accelerometer data. This method using multi-modal data allows us to explore patterns and extract common eye movement strategies. Our results are that participants paid most attention to the path itself; advertisements do not distract participants; participants focus more on pedestrians than on cyclists; pedestrians perform more shoulder checks than cyclists do; and we extracted common gaze sequences. Such an experiment in a real-world traffic environment allows us to understand realistic behavior of pedestrians and cyclists better.

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