2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Saeid Safavi; Heysem Kaya; Roy S. Hessels; Maryam Najafian; Sandra Hanekamp

doi:10.1145/3462244.3480979

2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Saeid Safavi, Heysem Kaya, Roy S. Hessels, Maryam Najafian, Sandra Hanekamp

University of Surrey
Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Indiana University
Department of Orthopedics, University Medical Center Utrecht, Utrecht, The Netherlands; Department of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.

Research output: Contribution to conference › Paper › Academic

Abstract

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.

Original language	English
Pages	862-863
Number of pages	2
DOIs	https://doi.org/10.1145/3462244.3480979
Publication status	Published - 18 Oct 2021

Keywords

human computer interaction
child computer interaction
child psychology
parent child interaction

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10.1145/3462244.3480979

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title = "2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour",

abstract = "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{\textquoteright}s events as well as the accepted papers and abstracts.",

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AU - Safavi, Saeid

AU - Kaya, Heysem

AU - Hessels, Roy S.

AU - Najafian, Maryam

AU - Hanekamp, Sandra

PY - 2021/10/18

Y1 - 2021/10/18

N2 - 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.

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KW - human computer interaction

KW - child computer interaction

KW - child psychology

KW - parent child interaction

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2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

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Keywords

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