Artificial Intelligence

   

PictoLens: Gaze-Driven Interaction Technique for Layered Data Visualization Exploration

Authors: Sarah Makarem

PictoLens is a novel gaze-based interaction technique for exploring layered data visualizations through progressive disclosure. Thesystem uses real-time gaze data to implement a point-and-click interaction model. Through intuitive gestures such as ‘Gaze and Fixate’and ‘Gaze and Lean In,’ users can seamlessly interact with three representations of the data: an AI-generated pictograph, a scatter-plotvisualization, and an annotated scatter-plot visualization. This hands-free and voice-free interaction technique addresses key challengesof traditional data exploration, such as long dwell times and the Midas Touch problem. PictoLens uses intuitive metaphors fromeveryday gestures: the gaze serves as a pointer, moving the visualization lens. Fixating the gaze at a point on the pictograph unlocks afiner data representation, while leaning forward reveals the most granular, detailed visualization layer with annotations. We presentPictoLens’ design and implementation to demonstrate its potential as an immersive analytics tool and interaction technique.

Comments: 7 Pages.

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Submission history

[v1] 2026-01-12 13:52:08

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