HCSep 30, 2020

What We See and What We Get from Visualization: Eye Tracking Beyond Gaze Distributions and Scanpaths

arXiv:2009.14515v12 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental position paper aimed at visualization researchers, suggesting methodological improvements without presenting new experimental results.

The paper argues that current eye tracking studies in visualization research are limited to basic gaze analysis and advocates for integrating psychology and cognitive science theories to gain deeper insights into perceptual and cognitive processes, proposing an interdisciplinary field of visualization psychology.

Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research is limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This position paper outlines our experiences with eye tracking in visualization and states the benefits that an interdisciplinary research field on visualization psychology might bring for better understanding how people interpret visualizations.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes