Modeling the Dynamics of Early Communication and Development

Computational modeling is central to a rigorous understanding of the development of the child’s first social relationships. The project addresses this challenge by modeling longitudinal change in the dynamics of early social interactions. Our proposed models integrate objective (automated) measurements of emotion and attention and common genetic variants relevant to those constructs. This project is supported by funding from the National Institute of General Medical Sciences.

Selected products/outcomes from this project

Workshops and demos

  • Cohn, J.F. (March 2015). Face processing. Society for Affective Science. San Francisco, CA.
  • Cohn, J.F. (September 2015). Sentiment and other affects: What are measuring? How well are we doing? 1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA’15), Xi’an, China.
  • Cohn, J.F. & Jeni, L (January 2016). Automated 3D face and gaze estimation and expression detection. The 6th Symposium on International Collaborative Laboratories, Pittsburgh, PA.
  • De la Torre, F., CHU, WS, Xiong, X., & Cohn, J.F. (May 2015), IntraFace. IEEE International Conference on Automatic Face and Gesture Detection. FG2015 Best Demo Award.
  • De la Torre, F., Girard, J.M., & Cohn, J.F. (September 2015). Facial expression analysis. IEEE International Conference on Biometrics Theory and Applications, Washington, DC.
  • Jeni, L., Kanade, T., & Cohn, J.F. (May 2015). ZFace. IEEE International Conference on Automatic Face and Gesture Detection, Ljubjana, Slovenia.
  • Phillips, J.P., Boyer, K., Beveridge, R., & Cohn, J.F. (May 2015). The Promise and Perils of Found Data. IEEE International Conference on Automatic Face and Gesture Detection, Ljubljana, Slovenia.

Related Publications

Helm, J. Lee, Ram, N., Cole, P. M., & Chow, S. - M.. (2016). Modeling Self-Regulation as a Process Using a Multiple Time-Scale Multiphase Latent Basis Growth Model. Structural Equation Modeling: A Multidisciplinary Journal, 23(5), 635 - 648. presented at the Feb-09-2016. doi:10.1080/10705511.2016.1178580
McDonald, N. M., Baker, J. K., & Messinger, D. S.. (2016). Oxytocin and parent–child interaction in the development of empathy among children at risk for autism.. Developmental Psychology, 52(5), 735 - 745. presented at the Jan-01-2016. doi:10.1037/dev0000104
Gangi, D. N., Messinger, D. S., Martin, E. R., & Cuccaro, M. L.. (2016). Dopaminergic variants in siblings at high risk for autism: Associations with initiating joint attention. Autism Research, 9(11), 1142 - 1150. presented at the Jan-11-2016. doi:10.1002/aur.2016.9.issue-1110.1002/aur.1623
Lu, Z. - H., Chow, S. - M., & Loken, E.. (2016). Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences. Multivariate Behavioral Research, 1 - 21. presented at the May-06-2017. doi:10.1080/00273171.2016.1168279
Calvo, R., D'Mello, S., Gratch, J., Kappas, A., Messinger, D. S., Duvivier, L. Lobo, et al.. (2015). The Oxford Handbook of Affective ComputingAffective Computing, Emotional Development, and Autism. (R. Calvo, D'Mello, S., Gratch, J., & Kappas, A., Eds.). Oxford University Press. doi:10.1093/oxfordhb/9780199942237.001.000110.1093/oxfordhb/9780199942237.013.012
Lu, Z. - H., Chow, S. - M., Sherwood, A., & Zhu, H.. (2015). Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data. The Annals of Applied Statistics, 9(3), 1601 - 1620. presented at the Jan-09-2015. doi:10.1214/15-AOAS84610.1214/15-AOAS846SUPP
Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J. F., et al.. (2015). Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions. Cognitive Computation, 7(4), 397 - 413. presented at the Jan-08-2015. doi:10.1007/s12559-015-9326-z
Hammal, Z., Cohn, J. F., & Messinger, D. S.. (2015). Head Movement Dynamics during Play and Perturbed Mother-Infant Interaction. IEEE Transactions on Affective Computing, 6(4), 361 - 370. presented at the Jan-10-2015. doi:10.1109/TAFFC.2015.2422702
Ozonoff, S., Young, G. S., Landa, R. J., Brian, J., Bryson, S., Charman, T., et al.. (2015). Diagnostic stability in young children at risk for autism spectrum disorder: a baby siblings research consortium study. Journal of Child Psychology and Psychiatry, 56(9), 988 - 998. presented at the Jan-09-2015. doi:10.1111/jcpp.2015.56.issue-910.1111/jcpp.12421
Chow, S. - M., Witkiewitz, K., Grasman, R. P. P. P., & Maisto, S. A.. (2015). The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods, 20(1), 142 - 164. presented at the Jan-01-2015. doi:10.1037/a0038962
Ruvolo, P., Messinger, D., & Movellan, J.. (2015). Infants Time Their Smiles to Make Their Moms Smile. (K. A. Bard, Ed.)PLOS ONE, 10(9), e0136492. presented at the Nov-09-2016. doi:10.1371/journal.pone.0136492