<p dir="ltr">This dataset contains the data from the publication "Adaptions in Eye-Movement Behavior during Face-to-face Conversations in Noise".</p><p dir="ltr">It contains eye-tracking data collected from 10 groups (groupID), each consisting of three young, normal-hearing Danish participants (subjID) engaged in a collaborative conversational task (Task). Each group conducted six conversations: three in a noisy environment and three in quiet conditions (<code>Condition</code>). Eye movements were recorded using Tobii Pro Glasses 3 at a sampling rate of 50 Hz. For each participant and trial, the dataset includes the raw eye-tracking data as exported from the Tobii glasses, and additional columns indicating if the gaze is within a region of interest (ROI) and labels for the conversational state (talking vs listening). <br>The ROIs were extracted from the video recordings captured by the Tobii 3 glasses (not shared here due to participant privacy). We extracted ROIs for the two interlocutors (peopleL, peopleR), their faces (faceL, faceR) and the task material (paper). </p><p dir="ltr">Audio recordings were processed offline using voice activity detection to segment speech for each talker. Pauses within a speaker’s turn were merged, and turns shorter than 0.5 seconds were excluded. The resulting labels for periods of talking (talking) and listening (listenL, listenR) were added to the data table. </p><p dir="ltr">For each conversation, the gaze data of a subject is stored in a file named "gazeData_groupID-[groupID]_glassID-[subjID]_condition-[Condition]_task-[task].csv" file, which can be found in "gazeData.zip"</p><p><br></p><p dir="ltr">Ethical statement:</p><p dir="ltr">Participants were paid on an hourly basis and gave consent to an ethics agreement approved by the Science-Ethics Committee for the Capital Region of Denmark (reference H-16036391).The dataset contains data for 30 young listeners with normal hearing.</p>
Funding
This work was carried out in connection to the Center for Applied Hearing Research (CAHR) supported by Widex, Oticon, GN ReSound, and the Technical University of Denmark.