# VisiTrail: A Cognitive Visualization Tool for Time-Series Analysis of Eye Tracking Data from Attention Game

## TL;DR

VisiTrail is a visualization tool that analyzes eye tracking data over time to better understand attention dynamics and improve performance assessment in complex visual search tasks.

## Contribution

The paper introduces VisiTrail, a novel visualization tool that integrates time series analysis, gaze pattern visualization, and performance metrics for eye tracking data.

## Key findings

- Reveals temporal attention patterns during tasks
- Links gaze behavior directly to user actions
- Enhances interpretation of complex gaze data

## Abstract

Eye Tracking (ET) can help to understand visual attention and cognitive processes in interactive environments. In attention tasks, distinguishing between relevant target objects and distractors is crucial for effective performance, yet the underlying gaze patterns that drive successful task completion remain incompletely understood. Traditional gaze analyses lack comprehensive insights into the temporal dynamics of attention allocation and the relationship between gaze behavior and task performance. When applied to complex visual search scenarios, current gaze analysis methods face several limitations, including the isolation of measurements, visual stability, search efficiency, and the decision-making processes involved in these scenarios. This paper proposes an analysis tool that considers time series for eye tracking data from task performance and also gaze measures (fixations, saccades and smooth pursuit); temporal pattern analysis that reveals how attention evolves throughout task performance; object-click sequence tracking that directly links visual attention to user actions; and performance metrics that quantify both accuracy and efficiency. This tool provides comprehensive visualization techniques that make complex patterns of stimuli and gaze connections interpretable.