ICMI 2020 Workshop on Bridging Social Sciences and AI for Understanding Child Behavior
Motivation
Child behaviour is a topic of wide scientific interest, among many different disciplines including social and behavioural sciences and artificial intelligence (AI). Yet, knowledge from these different disciplines is not integrated to its full potential, owing to among others the dissemination of knowledge in different outlets (journals, conferences) and different practices. In this workshop, we aim to connect these fields and fill the gaps between science and technology capabilities to address topics such as: using AI (e.g. audio, visual, textual signal processing and machine learning) to better understand and model child behavioural and developmental processes, challenges and opportunities in large-scale child behaviour analysis, implementing explainable ML/AI on sensitive child data, etc. We also welcome contributions on new child-behaviour related multimodal corpora and preliminary experiments on them.
Workshop Topics
Topics centered around the theme of understanding child behaviour, including but not limited to:
Systems
Affective behaviour analysis and elicitation for children
Longitudinal monitoring of children
Acoustic and linguistic analysis of children's speech
Applications
VR, AR, and wearable interfaces for children
Theory
Linking child behaviour across modalities
Perspectives on parent-child interactive behaviour
Focus Theme Challenges: Behavior analysis for children
Monitoring children during social interactions
Child speech development delay in different developmental disorders
Detection of abusive and aggressive behaviours, cyberbullying
Privacy and ethics of multimedia access for children
Databases collected from children
Investigations into children's interaction with multimedia content
Important Dates
Paper submission: August 12, 2020
Paper notification: August 24, 2020
Camera-ready paper submission: September 7, 2020
Presenting at main conference: October 29, 2020