Future Directions of Computational Approaches to Emotion in Infants and Toddlers

happy children smiling

Future Directions of Computational Approaches to Emotion in Infants…

Daniel Messinger, Jacquelyn Moffitt, et al. published a chapter (21) in Oxford Academic’s The Oxford Handbook of Emotional Development titled “Early Interaction: New Approaches.” The chapter focuses on new developments in behavior imaging, objective quantification of human action, and computational approaches to the study of early emotional interaction and development.


Daniel Messsinger, speaker, Smart Cities MIAMI 2022Early interaction is a dynamic, emotional process in which infants influence and are influenced by caregivers and peers. Advances in the automated measurement and modeling of human emotional behavior—including objective measurement of facial expressions, machine learning approaches to detecting interaction and emotion, and electrophysiological measurements of emotional signals—provide new insights into how interaction occurs. Furthermore, advances in automated measurement and modeling can be applied to the study of atypical development, contributing to our understanding of, for example, social affective behaviors in toddlers with autism spectrum disorder (ASD). We conclude by posing questions for future directions of the field of computational approaches to emotion.

Jacquelyn Moffitt, University of Miami early PLAY and DEVELOPMENT Laboratory StudentRead more.Read more about Dr. Messinger here.


In D. Dukes, A. Samson, E. Walle (Eds.), The Oxford Handbook of Emotional Development. Oxford University Press.

Messinger, Daniel S. and others, ‘Early Interaction: New Approaches‘, in Daniel Dukes, Andrea C. Samson, and Eric A. Walle (eds), The Oxford Handbook of Emotional Development (2022; online edn, Oxford Academic, 13 Jan. 2022), https://doi.org/10.1093/oxfordhb/9780198855903.013.31, accessed 10 Oct. 2022.