Reciprocal Dyadic Affective Interaction: From Facial Expressions to Brain Networks

Ray Lee, Joshua Friedman, Paul Sajda, Nim Tottenha

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

Abstract

The emotional bond between parents and children can be manifest in their eye contact. To quantitatively model dyadic brain responses to such affective interactions is essential for better understanding parent-child social relations and emotional states. By combining hyperscanning fMRI, the Facial Action Coding System, and algebraic topology, we introduce a new brain-behavior interaction analysis that can identify the underlying brain networks for the perception and expression of basic emotions during eye contact. It can potentially quantify both children's attachments to their parents, parents' external regulations to their children, as well as other social behaviors.

Original languageEnglish (US)
Title of host publication2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350327458
DOIs
StatePublished - 2023
Externally publishedYes
Event11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 - Cambridge, United States
Duration: Sep 10 2023Sep 13 2023

Publication series

Name2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023

Conference

Conference11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023
Country/TerritoryUnited States
CityCambridge
Period9/10/239/13/23

Keywords

  • affective interaction
  • brain network
  • eye contact
  • hyperscan fMRI
  • persistent homology

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Media Technology
  • Cognitive Neuroscience

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