What question did this study set out to answer?

The aim is to classify and compare algorithms used for identifying fixations and saccades in eye-tracking protocols.

January 1, 2000

Identifying fixations and saccades in eye-tracking protocols

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The aim is to classify and compare algorithms used for identifying fixations and saccades in eye-tracking protocols.
Propose a taxonomy of fixation identification algorithms based on their use of spatial and temporal information.
Describe five representative algorithms aligned with the taxonomy.
Evaluate comparison criteria based on qualitative characteristics.
The comparison reveals distinct qualitative characteristics among the five algorithms.
Findings indicate which algorithms may optimize data analysis in future research.
High variability in performance underscores the need for careful algorithm selection.

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This randomized trial compares fixation identification algorithms in eye-tracking protocols, highlighting implications for future analyses.

Salvucci et al. (2000) studied this question.

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This randomized trial compares fixation identification algorithms in eye-tracking protocols, highlighting implications for future analyses.