MutualEyeContact: A conversation analysis tool with focus oneye contact

Alexander Schäfer, Gerd Reis, Didier Stricker

In: ETRA '20 Short Papers. Symposium on Eye Tracking Research & Applications (ETRA-2020) June 2-6 Stuttgart Germany Pages 1-5 ISBN 978-1-4503-7134-6/20/06 ACM New York 2020.


Eye contact between individuals is particularly important for understanding human behaviour. To further investigate the importance of eye contact in social interactions, portable eye tracking technology seems to be a natural choice. However, the analysis of available data can become quite complex. Scientists need data that is calculated quickly and accurately. Additionally, the relevant data must be automatically separated to save time. In this work, we propose a tool called MutualEyeContact which excels in those tasks and can help scientists to understand the importance of (mutual) eye contact in social interactions. We combine state-of-the-art eye tracking with face recognition based on machine learning and provide a tool for analysis and visualization of social interaction sessions. This work is a joint collaboration of computer scientists and cognitive scientists. It combines the fields of social and behavioural science with computer vision and deep learning.

Weitere Links

MutualEyeContact.pdf (pdf, 3 MB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz