Leveraging Eye Tracking and Targeted Regions of Interest for Analyzing Code Comprehension
Author:
Affiliation:
1. Georgia Southern University, Statesboro, Georgia, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603287.3651213
Reference14 articles.
1. Using AI-based NiCATS System to Evaluate Student Comprehension in Introductory Computer Programming Courses
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3. Using psycho-physiological measures to assess task difficulty in software development
4. iReview: an Intelligent Code Review Evaluation Tool using Biofeedback
5. Md Shakil Hossain, Dhruv Pandya, Andrew Allen, and Felix G. Hamza-Lup. 2023. Learner Attention Quantification Using Eye Tracking and EEG Signals. In Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2, Kohei Arai (Ed.). Springer International Publishing, Cham, 836--847.
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