21 citations · 21 across the 1 of their papers we have counts for
3 papers
cs.AI2024
Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
Vedant Bahel, Harshinee Sriram, Cristina Conati
The paper extends an existing Intelligent Tutoring System (ITS) that supports students' learning via AI-driven personalized hints and can generate explanations to justify why/how t…
cs.CV2023★ 21 cited
Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data
Harshinee Sriram, Cristina Conati, Thalia Field
Existing research has shown the potential of classifying Alzheimers Disease (AD) from eye-tracking (ET) data with classifiers that rely on task-specific engineered features. In thi…
cs.LG2023
Evaluating the overall sensitivity of saliency-based explanation methods
Harshinee Sriram, Cristina Conati
We address the need to generate faithful explanations of "black box" Deep Learning models. Several tests have been proposed to determine aspects of faithfulness of explanation meth…