Data Sheet 2_Automated detection of mutual gaze in mobile eye-tracking studies of multi-party interactions.zip

The output files contain time-stamped measures of gaze events and can be imported into the annotation tool ELAN for qualitative analysis. While processing is largely automated, some steps require validity checks by the researcher. To underpin our observations on the potential of the proposed pipeline for the automatic extraction of mutual gaze, we subsequently conduct an exploratory analysis on the participants' unilateral gaze and mutual gaze proportions in relation to the following factors: seating position, speaking proportion, age, gender, familiarity, and movement synchrony.

The results show that speaking proportion, seating position, and familiarity were significantly associated with unilateral and mutual gaze proportion. By contrast, an association with age, gender, and movement synchrony measurements was not shown. The article concludes with a critical discussion of the limitations and strengths of the proposed pipeline.

We highlight the opportunities and challenges of quantifying gaze patterns in complex multi-party settings with a specific interest on how existing qualitative and quantitative findings may be brought together for future studies.</p>