MutualEyeContact: A conversation analysis tool with focus on eye contact

Alexander Schäfer, Tomoko Isomura, Gerd Reis, Katsumi Watanabe, Didier Stricker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371346
DOIs
Publication statusPublished - 2020 Feb 6
Event2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 - Stuttgart, Germany
Duration: 2020 Jun 22020 Jun 5

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
CountryGermany
CityStuttgart
Period20/6/220/6/5

Keywords

  • Conversation analysis
  • Eye tracking
  • Mutual eye contact
  • Visualization tool

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

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