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EMORE@ACII2026: and Responsible AI Puebla, Mexico, 7
September 2025 |
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Conference and workshop websites |
ACII: Workshops - ACII 2026 |
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Submission deadline |
DEADLINE EXTENSION: Submission
page: https://easychair.org/conferences/?conf=acii2026 |
Topics: emotion arousal and
recognition cognitive computing artificial intelligence social robots VR/AR/MR cross-cultural applications ethical issues of ER multimodal ER
The EMORE 2026 workshop is the latest edition of a series. Since 2017, this series has fostered a
research network for interdisciplinary cooperation among computer science, psychology, philosophy, and
neuroscience.
Current affective computing
systems frequently rely on standardized models (such as those by Ekman or
Plutchik) based on psychology and neurology and offered in specific languages
and translations which, while effective for Neo-Latin
and Germanic languages, may fail to capture the linguistic nuances and cultural specificities of diverse global populations, especially using non-alphabetical languages (e.g., Chinese, Indian, logographic;
Kazakh, agglutinative; Russian, Turkish, Cyrillic), or having underrepresented
social and relationship specificities. EMORE 2026 argues for a shift toward complementary paradigms, where traditional cultural frameworks (e.g., traditional Asian medicine) and modern neurological science
are viewed as two complementary ways of modeling the same underlying human
nervous system.
The workshop also aims to address the critical need to integrate pain recognition into the emotional spectrum, recognizing that pain follows similar
neurological trends (e.g., in the polyvagal theory and the window of
tolerance), and is deeply mediated by cultural acceptance and expression.
Expected outcomes includes proposals of ambiguity-aware
and culturally-sensitive models for both emotion and pain recognition that can be integrated into future global AI
architectures. As AI systems, particularly
Large Language Models (LLMs), are now deployed globally, the technical bias of
Anglophone-dominant representations has become a significant barrier.
These models often suffer from performance gaps in
non-English contexts because their foundational training (tokenization) fails to capture the verbal nuances of other
languages. With the rapid advancement of generative AI and its application in sensitive
areas like healthcare and education, there is an urgent need to establish
ethically-grounded and multicultural emotion recognition
frameworks that move beyond monocultural universals.
Topics include, but are not limited to Affective Computing in:
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Limits of Neo-Latin/Germanic-Centric
Models: Exploring how standardized models fail to translate to other linguistic
families where "emotion" may represent a different
physio-neurological or conceptual class.
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Complementary
Paradigms of Health and Affect: Bridging traditional frameworks (e.g.,
traditional Asian medicine) with modern neuroscience into a unified, multicultural understanding of
emotions.
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Cross-Cultural
Pain Recognition and Neurological Trends: Investigating pain as a state
following similar neurological trends to emotions (e.g., polyvagal theory and
the window of tolerance) and integrating cultural differences in its expression
and acceptance.
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Anglophone-Dominant
Representations in AI: Technical focus on bias in AI training data (tokens),
addressing how Large Language Models (LLMs) suffer from performance gaps in
non-English contexts.
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Interdisciplinary
Ethics and Diversity in ER: Exploring the ethical necessity of inclusive,
culturally representative systems in Emotion Recognition.
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Paper submission deadline: 30 May 2026
14 June 2026
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Notification of acceptance: 3 July 2026
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Camera-ready deadline: 10 July 2026
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Workshop date: 7 September 2026
ACER organizing committee:
Jordi Vallverdú,
Universitat Autōnoma de
Barcelona, Spain
Valentina
Franzoni, University of Perugia, Italy
Alfredo Milani, Link University Campus,
Italy
ACER program committee:
- Giulia Balboni, Department of Psychology, University
of Bologna, Italy
- Gulmira Bekmanova, Department of Computer Science,
Eurasian University, Astana, Kazakhstan
- Giulio Biondi, Adjunct Professor in Computer Science,
University of Perugia, Italy
- Fei Li, Philosophy Department, Chinese University,
Hong Kong
- Yuanxi
Li, Computer Science Department, Hong Kong Baptist University
- Jiming Liu, Computer Science Department, Hong Kong
Baptist University, China
- Vera Matarese, Philosophy Department, University of
Perugia, Italy
- Radoslaw Niewiadomski, Multimedia and Human
Understanding Group, University of Trento, Italy
- Rajdeep Niyogi, Full Professor, Department o Computer
Science and Engineering, Indian Institute if Technology Roorkee, India
- Valentina Poggioni, Department of Mathematics and
Computer Science, University of Perugia, Italy
ACII guidelines for authors ACII 2026 -
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Papers
must follow the ACII 2026 formatting and submission guidelines.
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Workshop
papers must be submitted via EasyChair to the
appropriate ACII 2026 workshop track.
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Submitted
papers must be anonymized for double-blind review.
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The
main body of the paper may be up to 7 pages.
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A
dedicated Ethical Impact Statement is required and may take up to 1 additional
page.
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References
are not included in the page limit.
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Submissions
must be provided in PDF format using the official ACII / IEEE templates.
Submission page: https://easychair.org/conferences/?conf=acii2026
Official Guidelines: Submission Guidelines - ACII 2026
ℹ️ Conference info: ACII 2026 -
🌐
Workshop site: https://emore.sites.dmi.unipg.it/
📩 Contact: Jordi Vallverdú, jordi.vallverdu@uab.cat
Each paper will be peer-reviewed by
at least three PC members on the basis of technical quality, relevance,
originality, significance and clarity. Accepted papers will be published in the
conference proceedings, which in the past years have been always indexed in
Scopus. Selected papers will be further invited for expansion and publication
in special issues or journals. Accepted papers must have a registered author
presenting the paper in the workshop.
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