Child behavior is a topic of great scientific interest across a wide range of disciplines, including social and behavioral sciences, as well as artificial intelligence (AI). The first workshop had a significant impact, and in this workshop, we aimed to bring together researchers from these fields to discuss topics such as using AI to better understand and model child behavioral and developmental processes, challenges and opportunities for AI in large-scale child behavior analysis, and implementing explainable ML/AI on sensitive child data. The workshop was a successful second step toward this objective, attracting contributions from many academic fields on child behavior analysis. This document summarizes the workshop's events as well as the accepted papers and abstracts.
CITATION STYLE
Safavi, S., Kaya, H., Hessels, R. S., Najafian, M., & Hanekamp, S. (2021). 2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. In ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 862–863). Association for Computing Machinery, Inc. https://doi.org/10.1145/3462244.3480979
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