You are exploring the synchronized eye-tracking and code suggestion dataset of our "An Eye For AI" Study. The dataset contains 4444 code suggestions from 33 professional and student developers, and their fine-grained eye-tracking data. This interactive data visualization tool allows you to explore eye-tracking data collected during our research on human-AI interaction with code suggestions. You can filter and analyze data by different aspects in how developers interact with AI-powered code completions. The tool offers first offers a comprehensive summary of the dataset, and then allows you to explore the data in more detail. Finally, you can also explore single participants and their session data. The Key Metrics Explained section defines the terminology used for the tool and study.