4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Heysem Kaya, Anouk Neerincx, Maryam Najafian, Saeid Safavi
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Abstract

Analysing and understanding child behaviour is a topic of great scientific interest across a wide range of disciplines, including social sciences and artificial intelligence (AI). Knowledge in these diverse fields is not yet integrated to its full potential. The aim of this workshop is to bring researchers from these fields together. The first three workshops had a significant impact. In this workshop, we discussed topics such as the use of AI techniques to better examine and model interactions and children’s emotional development, analyzing head movement patterns with respect to child age. The 2023 edition of the workshop is a successful new step towards the objective of bridging social sciences and AI, attracting contributions from various academic fields on child behaviour analysis. We see that atypical child development holds an important space in child behaviour research. While in visual domain, gaze and joint attention are popularly studied; speech and physiological signals of atypically developing children are shown to provide valuable cues motivating future work. This document summarizes the WoCBU’23 workshop, including the review process, keynote talks and the accepted papers.
第四届ICMI工作坊:连接社会科学和人工智能来理解儿童行为
分析和理解儿童行为是包括社会科学和人工智能(AI)在内的广泛学科的重大科学兴趣话题。这些不同领域的知识尚未充分发挥其潜力。这次研讨会的目的是把这些领域的研究人员聚集在一起。前三个讲习班产生了重大影响。在本次研讨会上,我们讨论了诸如使用人工智能技术来更好地检查和模拟互动和儿童情感发展,分析儿童年龄方面的头部运动模式等主题。2023年的研讨会是朝着连接社会科学和人工智能的目标迈出的成功的新一步,吸引了来自儿童行为分析各个学术领域的贡献。我们看到,非典型儿童发展在儿童行为研究中占有重要的地位。而在视觉领域,凝视和共同注意被广泛研究;非典型发育儿童的言语和生理信号被证明为激励未来工作提供了有价值的线索。本文件总结了WoCBU’23研讨会的评审过程、主题演讲和被接受的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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