AdaptLIL: A Gaze-Adaptive Visualization for Ontology Mapping

Abstract

This paper showcases AdaptLIL, a real-time adaptive link-indented list ontology mapping visualization that uses eye gaze as the primary input source. Through a multimodal combination of real-time systems, deep learning, and web development applications, this system uniquely curtails graphical overlays (adaptations) to pairwise mappings of link-indented list ontology visualizations for individual users based solely on their eye gaze.

The paper was submitted without the consent of all authors. It is being withdrawn until full consent is obtained