Seeing the Same UX Artifacts Differently: Professional Vision in UCASD Teams

This dataset contains the raw data files and Python source code required to replicate the eye-tracking analysis presented in the poster paper for the HCII 2026 conference. The study investigates scanpath similarity among agile and UX practitioners as they engage with four distinct UX artifacts: a persona, a storyboard, a wireframe, and a user journey map. The primary objective was to identify differences in the professional vision of UCASD practitioners through the analysis of eye-movement data. Specifically, the study compares scanpath similarity between ASD and UCD cohorts using the MultiMatch algorithm (Dewhurst et al., 2012) and Area of Interest (AOI) transition strings. Dataset Contents: Raw Eye-Tracking Data: TSV files containing fixation coordinates and durations (x, y, duration). Python Scripts: Implementation of the MultiMatch algorithm for batch processing and similarity score computation. UX Artifacts: Four images defining the specific AOI boundaries for each UX artifact. Usage Instructions: To execute the analysis, place all TSV files within the directory titled RAW DATA_0.3_30px. Running the script multimatch_batch_three_loops_adjust_padding.py will process the data using the MultiMatch algorithm and generate a consolidated output file titled MultiMatch_Final_Summary.csv.