Connectionists: (CfP) ACM-MM 2023: 1st International Workshop on Responsible Affective computing (REACT)

[Dimitrios Kollias]

Dear Colleagues,

Please find below the invitation to contribute to the 1st International Workshop on Responsible Affective computing (REACT 2023) to be held in conjunction with the ACM-MM 2023<https://www.acmmm2023.org/>.


The REACT 2023 Workshop aims to encourage and highlight novel strategies for affective phenomena estimation and prediction with a focus on robustness and accuracy in extended parameter spaces, spatially, temporally, spatio-temporally and most importantly Responsibly. This is expected to be achieved by applying novel neural network architectures, incorporating anatomical insights and constraints, introducing new and challenging datasets, and exploiting multi-modal training.


Specifically, the workshop topics include (but are not limited to):

  *   Privacy preserving large scale data collection and annotation for Affective Computing.
  *   Privacy preserving large scale emotion recognition in the wild.
  *   Responsible AI for emotion recognition.
  *   Privacy preserving fusion techniques for audio-visual/physiological signals.
  *   Privacy preserving localization and identification of salient affect signals.
  *   Privacy preserving applications in healthcare domain (mental health, rehab robotics etc).
  *   Affective Computing Applications in education and entertainment.
  *   Privacy concerns in large scale data collection.
  *   Explainable AI in affective computing.
  *   Responsible Personalization of affective phenomena estimators with low data regime.
  *   Bias in affective computing data (e.g., lack of multi-cultural datasets).
  *   Algorithmic bias and fairness in affective computing.


The accepted papers will be published in the official ACM-MM Workshops proceedings.



Important Dates:
Paper Submission Deadline:                                                         15 July, 2023
Review decisions sent to authors; Notification of acceptance:      31 July, 2023
Camera ready version                                                                    05 August, 2023

Chairs:

Shreya Gosh,      Curtin University, Australia
Abhinav Dhall,     Indian Institute of Technology Ropar, India
Dimitrios Kollias, Queen Mary University of London, UK
Roland Goecke,  University of Canberra, Australia
Tom Gedeon,      Curtin University, Australia


In case of any queries, please contact shreya.ghosh at curtin.edu.au<mailto:shreya.ghosh at curtin.edu.au>



Kind Regards,
Dimitrios Kollias,
on behalf of the organising committee




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Dr Dimitrios Kollias, PhD, MIEEE, FHEA

Lecturer (Assistant Professor) in Artificial Intelligence

Member of Multimedia and Vision (MMV) research group

Member of Queen Mary Computer Vision Group

Associate Member of Centre for Advanced Robotics (ARQ)
Academic Fellow of Digital Environment Research Institute (DERI)

School of EECS

Queen Mary University of London

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