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<p class="MsoNormal">Dear All,<o:p></o:p></p>
<p class="MsoNormal">Apologies for cross-posting. <o:p></o:p></p>
<p class="MsoNormal">Following the success of UHBER at CBMI 2024, we are organising special session again at CBMI 2025:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>UHBER: Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons<o:p></o:p></b></p>
<p class="MsoNormal">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.<o:p></o:p></p>
<p class="MsoNormal">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.<o:p></o:p></p>
<p class="MsoNormal">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:<o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1">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.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Methods for information fusion, including information from various heterogeneous sources.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Methods to learn human traits and preferences from long term observations.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Methods to detect human implicit feedback from past and current observations.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Methods to assess task performance: skills, emotions, confusion, engagement in the task and/or context.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Methods to detect potential security and safety threats and risks.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">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.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">How to collect data for training AI methods from various sources, e.g., internet, open data, field pilots etc.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Use of behavioural or emotional data to model humans and adapt services either online or in physical spaces.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Ethics and privacy issues in modelling human emotions, behaviour, context and reasons.<o:p></o:p></li></ul>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>The conference proceedings will be published by IEEE</b>. All submitted papers must conform to the
<a href="https://www.ieee.org/conferences/publishing/templates.html">IEEE manuscript templates for conference proceedings</a> and the instructions it provides.
<b><o:p></o:p></b></p>
<p class="MsoNormal"><b>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:
<a href="https://www.cbmi2025.org" target="_blank">https://www.cbmi2025.org</a><o:p></o:p></b></p>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b>Submit your paper at <a href="https://www.conftool.pro/cbmi2025">
https://www.conftool.pro/cbmi2025</a><o:p></o:p></b></p>
<p class="MsoNormal"><b><span style="background:yellow;mso-highlight:yellow">And please remember to choose UHBER in the submission tool.</span><o:p></o:p></b></p>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b>Submission Deadline: 23 Apr 2025 (AoE), will be probably extended.<br>
Notification: 1 Jul 2025 (AoE)<br>
Camera-ready & Registration: 1 Aug 2025 (AoE)<o:p></o:p></b></p>
<p class="MsoNormal"><b>Conference: October 22-24 Dublin, Ireland<o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="FI"><a href="https://www.cbmi2025.org/cfp/special-sessions/"><span lang="EN-GB">https://www.cbmi2025.org/cfp/special-sessions/</span></a></span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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