3 citations · 3 across the 1 of their papers we have counts for
4 papers
A Neural Architecture for Detecting Confusion in Eye-tracking Data
Shane Sims, Cristina Conati
Encouraged by the success of deep learning in a variety of domains, we investigate a novel application of its methods on the effectiveness of detecting user confusion in eye-tracki…
Toward Personalized XAI: A Case Study in Intelligent Tutoring Systems
Cristina Conati, Oswald Barral, Vanessa Putnam +1
Our research is a step toward ascertaining the need for personalization, in XAI, and we do so in the context of investigating the value of explanations of AI-driven hints and feedb…
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations
Sébastien Lallé, Dereck Toker, Cristina Conati
In this paper we investigate the value of gaze-driven adaptive interventions to support processing of textual documents with embedded visualizations, i.e., Magazine Style Narrative…
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks
Shane D. Sims, Vanessa Putnam, Cristina Conati
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 lear…