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Infant eye movements are an important behavioral resource to understand early human development and learning. But the complexity and amount of gaze data recorded from state‐of‐the‐art eye‐tracking systems also pose a challenge: how does one make sense of such dense data? Toward this goal, this article describes an interactive approach based on integrating top‐down domain knowledge with bottom‐up information...