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Investigating the Auditory Selective Attention Switch using Matrix Sentences in VR

<h2>General</h2> <p>The audio-visual Auditory Selective Attention VR - Long Stimuli (avASAlongStimuli) project serves to investigate the extensions by matrix sentences of a paradigm on the auditory selective attention switch in a close-to-real-life classroom setting. This dataset consists of a Unity project and Matlab code used to collect data on the voluntary switching of auditory selective attention in a virtual reality classroom scenario.</p> <p><strong>The dataset contains:</strong></p> <p>&nbsp; &nbsp; Unity project for audiovisual display and the experiment structure<br>&nbsp; &nbsp; Matlab code for experiment preparation and HpFT measurement<br>&nbsp; &nbsp; Data collected in the experiment (experiment performance, head tracking)</p> <h2>Experiment preparation using Matlab</h2> <p>The code and software used to prepare the experiment is provided in the folder "matlab_avASAlongStimuli".</p> <p>The Matlab code used to prepare the trials for each participant as well as to measure the HpTFs. For the HpTF measurements, the &nbsp;ITA Toolbox for Matlab was used and is provided (https://git.rwth-aachen.de/ita/toolbox). A developmental version of Virtual acoustics (VA) 2022a (https://www.virtualacoustics.org/VA/overview/) is provided.</p> <p><strong>Software requirements:</strong></p> <p>&nbsp; &nbsp; Matlab 2020a or higher<br>&nbsp; &nbsp; ITA Toolbox for Matlab installed</p> <h2><br>Experiment conduction in Unity</h2> <p>The Unity project is provided in the folder "unity_avASAlongStimuli".</p> <p>Therefore, a virtual classroom with some basic furniture is provided. The used models, prefabs and plugins can be found in the Assets folder.</p> <p>The acoustic stimuli for the task were created using Voicemaker (https://voicemaker.in/).</p> <p>This Unity project was intended for the use in virtual reality using an HMD and respective controllers for input. However, it can also be used on a desktop pc. The mode can be changed using the "VRMode" toggle as described below.<br>The audio reproduction is realized using the Unity plugin for Virtual Acoustics (VA, http://www.virtualacoustics.org/ and https://git.rwth-aachen.de/ita/vaunity_package).</p> <p><strong>Software requirements:</strong></p> <p>&nbsp; &nbsp; Unity 2019.4.21.f1.<br>&nbsp; &nbsp; SteamVR 1.19.7<br>&nbsp; &nbsp; Virtual Acoustics v2022a, VAUnity: https://git.rwth-aachen.de/ita/VAUnity</p> <h2><br>Data evaluation</h2> <p>The collected data is provided in the folder "dataEvaluation_avASAlongStimuli". This folder contains two types of data: the raw data collected in the experiment (reaction times and error rates), the head tracking data.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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