Confusion prediction from eye-tracking data: Experiments with machine learning

• Main Authors: SALMINEN, Joni, NAGPAL, Mridul, KWAK, Haewoon, AN, Jisun, JUNG, Soon-gyo, JANSEN, Bernard J.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: confusion detection; eye tracking; machine learning; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6293; https://ink.library.smu.edu.sg/context/sis_research/article/7296/viewcontent/Confusion_Prediction_from_Eye_Tracking_Data_Experiments_with_Machine_Learning.pdf
• Institution: Singapore Management University

Predicting user confusion can help improve information presentation on websites, mobile apps, and virtual reality interfaces. One promising information source for such prediction is eye-tracking data about gaze movements on the screen. Coupled with think-aloud records, we explore if user's conf...