Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data. - Harshinee Sriram; Cristina Conati; Thalia Shoshana Field (ICMI, 2023)

Evaluating the overall sensitivity of saliency-based explanation methods. - Harshinee Sriram; Cristina Conati (CoRR, 2023)

Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data. - Harshinee Sriram; Cristina Conati; Thalia Shoshana Field (CoRR, 2023)

Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. - Anuj Harisinghani; Harshinee Sriram; Cristina Conati; Giuseppe Carenini; Thalia Shoshana Field; Hyeju Jang; Gabriel Murray (Proc. ACM Hum. Comput. Interact., 2023)

Detecting when Users Disagree with Generated Captions. - Omair Shahzad Bhatti; Harshinee Sriram; Abdulrahman Mohamed Selim; Cristina Conati; Michael Barz; Daniel Sonntag (ICMI Companion, 2024)

Multimodal Classification of Alzheimer's Disease by Combining Facial and Eye-Tracking Data. - Shih-Han Chou; Miini Teng; Harshinee Sriram; Chuyuan Li; Giuseppe Carenini; Cristina Conati; Thalia Shoshana Field; Hyeju Jang; Gabriel Murray (ML4H@NeurIPS, 2024)

Initial results on personalizing explanations of AI hints in an ITS. - Vedant Bahel; Harshinee Sriram; Cristina Conati (UMAP, 2024)

Personalizing explanations of AI-driven hints to users' cognitive abilities: an empirical evaluation. - Vedant Bahel; Harshinee Sriram; Cristina Conati (CoRR, 2024)

Personalizing Explanations of AI-Driven Hints to Users' Characteristics: An Empirical Evaluation. - Vedant Bahel; Harshinee Sriram; Cristina Conati (AIED (1), 2025)