ISeeColor: Method for Advanced Visual Analytics of Eye Tracking Data

ISeeColor: Method for Advanced Visual Analytics of Eye Tracking Data

Recent advances in head-mounted eye-tracking technology have allowed researchers to monitor eye movements during locomotion in real-world environments, increasing the ecological validity of research on human gaze behavior. While collecting eye-tracking data is becoming more accessible, visual analyt...

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Bibliographic Details
Main Authors: Karen Panetta, Qianwen Wan, Srijith Rajeev, Aleksandra Kaszowska, Aaron L. Gardony, Kevin Naranjo, Holly A. Taylor, Sos Agaian
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Eye-trackers
cognitive science
data visualization
data analysis
deep-learning
Online Access:https://ieeexplore.ieee.org/document/9036879/

Internet

https://ieeexplore.ieee.org/document/9036879/

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