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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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