Supplementary data for the paper De Winter, J. C. F., Hu, J., & Petermeijer, S. M. (2022).  Ipsilateral and contralateral warnings: Effects on decision-making and eye movements in near-collision scenarios. Journal on Multimodal User Interfaces.

* Experiment video.mp4	Demonstration video of the experiment. In this video, the audio samples are overlaid, to give the viewer a clear indication of the spatial sound. In the actual experiment, spatial feedback was provided via Logitech speakers.

* show_interest_area.m	MATLAB script that reproduces Figure 2, showing the areas of interest used to classify fixation locations.
* video_frames.m	MATLAB script that reproduces Figure 3, showing the first frame of the six different videos that were shown to participants.
* audio_analysis.m	MATLAB script that reproduces Figure 4, showing the sound waves used in the experiment.
* results.m		MATLAB script that reproduces Figures 5-8, Figure S1, and Table 2, with the results of the experiment.

* Allgaze.mat		MATLAB workspace file with participants' gaze data, including fixation information. File is called by results.m.
* /Data			text files with participants' key presses, their correctness, and response times per trial. Files are called by results.m.
* within_subject_ci.m	MATLAB script that calculates confidence intervals for within-subject data. File is called by results.m.
* loadcordinates.m	MATLAB script that reads the coordinates of the areas of interest. File is called by show_interest_area.m
*/Coordinates		MATLAB workspace files with the coordinates of the areas of interest. Files are called by loadcoordinates.m.
* L1.xvd.png		Frame used to overlay the areas of interest for Figure 2. File is called by show_interest_area.m
* .wav files		audio files providing directional semantic information during the experiment. Files are called by audio_analysis.m.
* .avi files		video files shown during the experiment. The videos last 1.1, 3.1, and 6.1 s. In the experiment, the videos were presented for 1 s (20 frames), 3 s (60 frames), and 6 s (120 frames). The files are called by video_frames.m.

Note. The MATLAB script was tested using MATLAB R2021a.