Dataset for: Effects of Camera Height, Field of View, and Driver Age on Depth Judgement and Lane-Change Decisions in Camera Monitor Systems

# Camera Monitor System (CMS) DatasetVersion 1.1 Dataset associated with the manuscript: "Effects of Camera Height, Field of View, and Driver Age on Depth Judgement and Lane-Change Decisions in Camera Monitor Systems" ## Changelog ### Version 1.1- Corrected a file export error that caused row truncation in `distance_estimation_cleaned.csv` and `lane_change_dataset.csv` (Version 1.0). Most data columns were missing from each row in those files due to a comma/semicolon delimiter collision during export. Files have been rebuilt from the original source data.- Corrected a mixed decimal notation issue (comma vs dot) in the `Confidence` column of `distance_estimation_cleaned.csv`, which caused the column to be read as a string rather than a numeric type in standard CSV parsers.- Updated `variable_dictionary.csv` to accurately reflect the column names used in all three data files (Version 1.0 listed intended names that did not match the actual file contents).- Added two participants (P48, P49) to `participant_metadata.csv` whose records were missing from the Version 1.0 export due to a data extraction error. Their experimental task data were present in `lane_change_dataset.csv` but lacked corresponding metadata rows.- Clarified that the N=56 figure in the preprocessing section applies specifically to the distance estimation task (task-specific outlier exclusion). The lane-change task and participant metadata retain the full N=58. ### Version 1.0Initial release. --- ## Licence This dataset is shared under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. https://creativecommons.org/licenses/by/4.0/ --- ## Included files ### participant_metadata.csvParticipant-level demographic and background information. N=58. ### distance_estimation_cleaned.csvCleaned participant-level data from the distance estimation task. N=56 after task-specific outlier exclusion (see Data preprocessing below). ### lane_change_dataset.csvParticipant-level data from the lane-change task. N=58. ### variable_dictionary.csvDefinitions and descriptions of all variables included across the three data files. --- ## Experimental overview A controlled laboratory experiment combining two aligned data collections was conducted using dynamic rearward driving scenarios in a Camera Monitor System (CMS) environment. Participants completed:- a distance estimation task- a lane-change task (last safe gap, LSG) Experimental factors:- Field of View (FOV): 40°, 76°, 112°- Camera height: High / Low- Driver age: continuous variable (range 22–64 years, mean 38.2 years). The variable `AgeGroupMedianSplit` is retained in the data files for continuity with prior analyses (Pifferi, 2025), but is not used in the primary analysis reported in the associated manuscript. --- ## Data preprocessing Preliminary analyses examined the distribution of the dependent variables for the distance estimation (Dist) and lane-change (LSG) tasks. The LSG data did not show substantial skewness or kurtosis, whereas the Dist data contained several extreme values reflecting substantial underestimation relative to the actual target distances. Outliers in the distance estimation data were identified using a threshold of ±2.5 standard deviations from the mean of the dependent variables (absolute and relative distance estimation errors). Exclusion limits:- Absolute distance error: −84 m to 79 m- Relative distance error: −2.76 to 2.55 Two participants were excluded from the distance estimation task because more than half of their trials fell outside the ±2.5 SD range (participants P48 and P49). These participants are retained in `lane_change_dataset.csv` and `participant_metadata.csv`, as the exclusion criterion was specific to the distance estimation task. Two additional participants contained isolated outlying trials (one and two trials, respectively); these isolated outlying trials were replaced using mean-value imputation within the corresponding dependent variable. Following preprocessing, the distance estimation dataset contains 56 participants and the lane-change dataset contains 58 participants. --- ## Ethics and anonymisation The shared datasets do not contain directly identifying personal information. Participant IDs are anonymised. Raw interview recordings, interview transcripts, and any potentially identifying qualitative material are not included in the shared repository for ethical and privacy reasons. --- ## Suggested citation Pifferi, G., Söderlund, N., Thulinsson, F., Brunnström, K., Rafiei, S., Schenkman, B., Djupsjöbacka, A., Sperandio, I., & Andrén, B. (2025). Dataset for: *Effects of Camera Height, Field of View, and Driver Age on Depth Judgement and Lane-Change Decisions in Camera Monitor Systems*. Zenodo. DOI: https://doi.org/10.5281/zenodo.20055126