Reciprocal Dyadic Affective Interaction: From Facial Expressions to Brain Networks

Ray Lee, Joshua Friedman, Paul Sajda, Nim Tottenha

Producción científica: Conference contribution

Resumen

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.

Idioma originalEnglish (US)
Título de la publicación alojada2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350327458
DOI
EstadoPublished - 2023
Publicado de forma externa
Evento11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023 - Cambridge, United States
Duración: sept 10 2023sept 13 2023

Serie de la publicación

Nombre2023 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
País/TerritorioUnited States
CiudadCambridge
Período9/10/239/13/23

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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