# AdaptLIL: A Gaze-Adaptive Visualization for Ontology Mapping

arXiv: https://arxiv.org/abs/2411.11768 · HTML: https://mlsanity.com/paper/2411.11768/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 18 Nov 2024.

## Abstract (arXiv)

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.
