Personalizing explanations of AI-driven hints to users' cognitive abilities: an empirical evaluation

no code implementations • 6 Mar 2024 • Vedant Bahel, Harshinee Sriram, Cristina Conati

We investigate personalizing the explanations that an Intelligent Tutoring System generates to justify the hints it provides to students to foster their learning.

Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data

no code implementations • 22 Sep 2023 • 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.

Evaluating the overall sensitivity of saliency-based explanation methods

no code implementations • 21 Jun 2023 • Harshinee Sriram, Cristina Conati

We address the need to generate faithful explanations of "black box" Deep Learning models.