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Found 2 papers, 1 papers with code
Toward Personalized XAI: A Case Study in Intelligent Tutoring Systems
In addition, we show that students' access of the explanation and learning gains are modulated by user characteristics, providing insights toward designing personalized Explainable AI (XAI) for ITS.
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks
Encouraged by the success of deep learning in a variety of domains, we investigate the suitability and effectiveness of Recurrent Neural Networks (RNNs) in a domain where deep learning has not yet been used; namely detecting confusion from eye-tracking data.
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