A machine learning approach for the automatic estimation of fixation-time data signals' quality

• Main Authors: Gabrieli, Giulio, Balagtas, Jan Paolo Macapinlac, Esposito, Gianluca, Setoh, Peipei
• Other Authors: School of Social Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Social sciences::Psychology; Eye-tracking; Machine Learning
• Online Access: https://hdl.handle.net/10356/145869
• Institution: Nanyang Technological University

Fixation time measures have been widely adopted in studies with infants and young children because they can successfully tap on their meaningful nonverbal behaviors. While recording preverbal children's behavior is relatively simple, analysis of collected signals requires extensive manual prepr...