Effects of individuality, education, and image on visual attention: Analyzing eye-tracking data using machine learning

Effects of individuality, education, and image on visual attention: Analyzing eye-tracking data using machine learning

Machine learning, particularly classification algorithms, constructs mathematical models from labeled data that can predict labels for new data. Using its capability to identify distinguishing patterns among multi-dimensional data, we investigated the impact of three factors on the observation of ar...

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Bibliographic Details
Main Authors: Sangwon Lee, Yongha Hwang, Yan Jin, Sihyeong Ahn, Jaewan Park
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Journal of Eye Movement Research
Subjects:
Eye tracking
visual attention
individual differences
art perception
architectural design
machine learning
Online Access:https://bop.unibe.ch/JEMR/article/view/4559
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https://bop.unibe.ch/JEMR/article/view/4559

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