[UHBER-2026] Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons Call for Papers
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22nd International Conference on Content-based Multimedia Indexing, CBMI 2026
Toulouse, France, October 21-23, 2026
https://cbmi2026.sciencesconf.org/
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[CBMI2026] Special Session - [UHBER-2026] Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons
Understanding of human behaviour is needed in many application areas:
for example, safety at work or in transport, security, supporting the
elderly, supporting learning, supporting wellbeing. Humans are good at
understanding other humans, and they do it via observing their
behaviour and/or via interactions, but AI is notably lagging behind in
this respect due to notable individual differences and
context-dependency of human behaviour. In addition, many studies into
this problem collect data in the controlled laboratory settings, which
do not reveal all complexity and context-dependency of human behaviour
and hence do not provide adequate data to train AI to better
understand human behaviour.
Topics of this special session include the following:
Advances in AI methods for understanding human behaviour and deriving
preferences, intentions, personality traits
emotion / mental state / cognition
work or study task performance/ engagement/ confusion
implicit feedback
potential security and safety threats and risks
Advances in AI methods to understand reasons for the above.
Advances in adapting AI methods to different end users and contexts without collecting a lot of labels from each user and/or for each context: transfer learning, semi-supervised learning, anomaly detection, one-shot learning etc
Studies into collecting real-life human behaviour data and its analysis
Advances in information fusion, including information from various heterogeneous sources.
Important dates :
Paper deadline: 20 APRIL 2026
Notification: 22 MAY 2026
Camera-ready: 15 JUNE 2026
Paper submission : Author Guidelines
Please indicate in the comments that this paper is for SS UHBER-2026
SS chairs
Elena Vildjiounaite, VTT Technical Research Centre of Finland, Finland
Mihai Mitrea, Telecom SudParis, France
Ioan Marius Bilasco, University of Lille, France
Benjamin Allaert, IMT-Nord-Europe, France