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IEEEArt therapy and affective intelligence
  • Emotional healing through multimodal art integration
  • Applications of AI in mental health and emotional well-being
  • Affective computing in intangible cultural heritage design
  • The study on the correlation between design aesthetics and emotion
  • Music, audio, and text (lyrics, poems) in emotional art design
  • Affective computing for measurement of emotional art perception
  • Applications of AIGC (video, image, font) in affective computing
  • AI-driven emotional multimedia content generation
  • Multimodal art integration and emotional healing
  • Emotional impact assessment of AIGC multimodal content
  • Emotional intelligence and art design in virtual and augmented reality
  • Emotional intelligence in social robots
  • Usability engineering in affective art design
  • Types of Contributions:

    The TAC recognizes novel contributions of the following types within its area:

    • Empirical Research: Data-driven research, including new experimental results and datasets, that explores the application of affective intelligence in art design.
    • Methodology: Theories and methods of affective intelligence for processing emotional expression and interaction in art design.
    • Software: New software implementations and toolboxes for affective intelligence and art design.
    • Datasets: Datasets related to affective intelligence and art design, providing valuable resources for researchers.
    • Tutorials: Tutorials on affective intelligence and art design, covering the use of specific tools, methods, and datasets for research, application of affective intelligence technologies in practice, and techniques for using art design to influence emotions.
    • Review: Timely and comprehensive overviews covering recent developments in the field of affective intelligence and art design.

    These fascinating research topics will attract the interest of researchers. We hope that new methods and application will be inspired and devised. And this Special Issue can be considered as a contribution in this evolving field.


    Submission Guidelines

    For author information and guidelines on submission criteria, visit the TAC Author Information page. When submitting your paper, please be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the IEEE Author Portal submission system and must select the article type: "Can AI Care? Affective LLMs for the Future of Mental Health."

    In addition to submitting your paper to TAC, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!

    All submissions will undergo rigorous peer review in accordance with IEEE TAC standards.


    Guest Editors

    • Kejun Zhang, Zhejiang University
    • Sicheng Zhao, Tsinghua University
    • Björn W. Schulle, Imperial College London & Technical University of Munich
    • Songruoyao Wu, Zhejiang University
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