Eye Tracking on Text Reading with Visual Enhancements
April 08, 2024 Β· Declared Dead Β· π Eye Tracking Research & Application
"No code URL or promise found in abstract"
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Authors
Franziska Huth, Maurice Koch, Miriam Awad, Daniel Weiskopf, Kuno Kurzhals
arXiv ID
2404.05572
Category
cs.HC: Human-Computer Interaction
Citations
10
Venue
Eye Tracking Research & Application
Last Checked
4 months ago
Abstract
The interplay between text and visualization is gaining importance for media where traditional text is enriched by visual elements to improve readability and emphasize facts. In two controlled eye-tracking experiments ($N=12$), we approach answers to the question: How do visualization techniques influence reading behavior? We compare plain text to that marked with highlights, icons, and word-sized data visualizations. We assess quantitative metrics~(eye movement, completion time, error rate) and subjective feedback~(personal preference and ratings). The results indicate that visualization techniques, especially in the first experiment, show promising trends for improved reading behavior. The results also show the need for further research to make reading more effective and inform suggestions for future studies.
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