RecGaze Dataset - Public Version

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Leon-Martinez, S. de
Kang, J.
Moro, R.
Rijke, M. de
Kveton, B.
Oosterhuis, H.R. Harrie
Bielikova, M.

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Zenodo

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The RecGaze dataset is the first comprehensive feedback dataset on carousels that includes eye tracking results, clicks, cursor movements, and selection explanations. The dataset comprises of interactions from 3 movie selection tasks with 40 different carousel interfaces per user. In total, 87 users and 3,477 interactions are logged. Public Dataset download contains: Summary Feedback Dataframe (summary_feedback.csv) - All the feedback (fixations, clicks, cursor movements) data gathered during the movie selection screens Click Feedback Dataframe (click_feedback.csv) - Summary dataframe, primarily for click modeling and other Recommender usages, that only contains the last movie selection click per user, screen pair. Item Features Dataframe (item_features.csv) - Contains all the information for the movies used to create the carousel screens along with extra data that was not used for the study. User Features Dataframe (user_features.csv) - Contains all the information gathered from the users during the pre-survey, post-survey, and post-selection screens (selection explanations). A more detailed description of all the files and their contents (along with supplementary material) can be found in the GitHub.

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