kollaR

kollaR performs eye-tracking analysis and visualization, including event detection, AOI-based analyses, and algorithm comparison for cognitive and developmental research.

Key Features:

• Event Classification: Implements several fixation classification algorithms (fixation filters) for identifying fixations and saccades in raw eye-tracking data.
• AOI-based Analyses: Analyzes whether fixations or saccades fall into specific areas of interest.
• Algorithm Comparison: Facilitates selection and comparison of different event classification algorithms through visualizations.
• Visualization: Provides visualizations for data exploration and for individual or group-level data for publications.
• Validation: Results from fixation classification are consistent with other software implementations of the same algorithms.

Scientific Applications:

• Cognitive Research: Supports eye-tracking studies investigating cognitive processes that are difficult to measure otherwise.
• Developmental Research: Enables analysis of eye-tracking data from typically developing individuals and individuals with neurodevelopmental conditions.
• Data Quality Assessment: Identifies potential threats to validity in both high- and low-quality eye-tracking data, including data compromised by signal loss, poor calibration, or movement artifacts.

Methodology:

The package implements event classification algorithms for fixation and saccade detection, performs AOI-based analyses, and generates visualizations for algorithm comparison and data exploration.