Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons Call for Papers

Following the success of UHBER at CBMI 2024, we are organising special session again at CBMI 2025:

 

UHBER: Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons

This special session addresses the processing of all types of data
related to understanding of human behaviour, emotion, and their
reasons, such as current or past context. Understanding human
behaviour and context may be beneficial for many services both online
and in physical spaces, e.g., for workplaces, travel and leisure
activities, for health support etc.

In the context of multimedia retrieval, understanding human behaviour
and emotions could help not only for multimedia indexing, but also to
derive implicit (i.e., other than intentionally reported) human
feedback regarding multimedia news, videos, advertisements,
navigators, hotels, shopping items etc. and to improve multimedia
retrieval. For example, probably a movie recommender system should not
put tragic movie on top of recommended movies when a user is tired and
stressed.

Humans are good at understanding other humans, their emotions and
reasons, and learning their tastes, skills and personality
traits. Hence the interest of this session is, how to improve AI
understanding of the same aspects? The topics include (but are not
limited to) the following:

    Use of various sensors for monitoring and understanding human
    behaviour, emotion / mental state / cognition, and context: video,
    audio, infrared, wearables, virtual (e.g., mobile device usage,
    computer usage) sensors etc.

    Methods for information fusion, including information from various
    heterogeneous sources.

    Methods to learn human traits and preferences from long term
    observations.

    Methods to detect human implicit feedback from past and current
    observations.

    Methods to assess task performance: skills, emotions, confusion,
    engagement in the task and/or context.

    Methods to detect potential security and safety threats and risks.

    Methods to adapt behavioural and emotional models 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.

    How to collect data for training AI methods from various sources,
    e.g., internet, open data, field pilots etc.

    Use of behavioural or emotional data to model humans and adapt
    services either online or in physical spaces.

    Ethics and privacy issues in modelling human emotions, behaviour,
    context and reasons.

 

The conference proceedings will be published by IEEE. All submitted
papers must conform to the IEEE manuscript templates for conference
proceedings and the instructions it provides.

Special session submissions can be up to 6 pages + references in IEEE
format. The review process is single-blind, i.e. submissions do not
need to be anonymized. Please consider the submission guidelines on
the conference website: https://www.cbmi2025.org

 

Submit your paper at https://www.conftool.pro/cbmi2025

And please remember to choose UHBER in the submission tool.


Submission Deadline: 23 Apr 2025 (AoE), will be probably extended.
Notification: 1 Jul 2025 (AoE)
Camera-ready & Registration: 1 Aug 2025 (AoE)

Conference: October 22-24 Dublin, Ireland

 

https://www.cbmi2025.org/cfp/special-sessions/