Eye-tracking Data on Film Viewing: Comparable Video Stimuli in Portrait and Landscape Format_anonymized

This dataset contains eye-tracking data collected in the Spring 2025 using a Tobii TX300 eye-tracker. The data was gathered from an initial sample of 33 participants, three of whom were subsequently excluded due to low gaze sample validity, resulting in a final sample of 30 participants. This dataset serves as the foundational material for the analysis presented in an article that has been submitted to the journal Projections. The collected data underwent a cleaning and pre-processing pipeline to ensure optimal quality for analysis. Specifically, segments corresponding to the initial fixation cross and the eye-tracker calibration procedure were systematically removed. Furthermore, the dataset was filtered to exclude manually annotated segments relating to a specific sequence in the Midsommar stimulus, characterized by rapid artificial panning. Two additional filtering criteria were applied to the fixations themselves: fixations exceeding a duration of 2000 milliseconds were removed as outliers, and any fixations registered outside the active video viewing area were also excluded. The dataset package is fully supported by accompanying R scripts to facilitate reproducibility and utility for other researchers. A dedicated R script is included that fully details the data processing steps described above, explaining the exact methodology used to create the cleaned dataset from the raw output. In addition, further R scripts are provided that contain the code used for the analyses pertaining to the individual hypotheses and research questions addressed in the submitted journal article. This dataset is part of a research project ... This research was approved by the Research Ethics Committee at ... UPDATE: Based on the peer-review process, the repository has been updated with the following changes: Fixation Entropy Calculation: R scripts for spatial entropy have been significantly updated. The analysis now uses a participant-centered aggregation approach rather than stimulus-based aggregation. Saccadic Data Aggregation: Scripts and datasets have been updated to correct a minor inconsistency in the aggregation procedure for saccadic amplitudes. LMM Robustness Checks: Added scripts and data structures for evaluating the impact of repeated exposure using Linear Mixed Models. Summary Tables: A summary table has been added, detailing all absolute and normalized results for all analyzed metrics. Viewing order table: LMM, Viewing order and interactions results. Character size_format.jpg contains comparision of character magnification in portrait format. The dataset includes 10 representative stills from each stimulus used for research purposes under the Quotation Exception (EU Directive 2019/790) and Fair Use (17 U.S.C. § 107). Originals are property of their respective copyright holders (A24, Paramount, Netflix, Palacký University). To comply with copyright regulations while ensuring research reproducibility, the stimuli are provided as a collection of low-resolution and watermarked images in JPG. Additionally, the former RQ3 script has been removed to align with the final version of the manuscript. RQ3 in the new version is RQ4 from previous version.