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ISCApad #310

Tuesday, April 09, 2024 by Chris Wellekens

3-3-48 (2024-11-05) The 26th International Conference on Multimodal Interaction (ICMI 2024), San Jose, Costa Rica
  
We cordially invite you to submit papers for the main track of the 26th International Conference on Multimodal Interaction (ICMI 2024). The 26th International Conference on Multimodal Interaction (ICMI 2024) will be held in San José, Costa Rica. ICMI is the premier international forum that brings together multimodal artificial intelligence (AI) and social interaction research. Multimodal AI encompasses technical challenges in machine learning and computational modeling such as representations, fusion, data, and systems. The study of social interactions encompasses both human-human interactions and human-computer interactions.  A unique aspect of ICMI is its multidisciplinary nature which values both scientific discoveries and technical modeling achievements, with an eye towards impactful applications for the good of people and society. 


https://icmi.acm.org/2024/call-for-papers/


Important Dates
Abstract deadline
April 26th, 2024
Paper Submission
May 3rd, 2024
Rebuttal Period June 16th-23rd, 2024
Paper notification July 18th, 2024
Camera-ready paper August 16th, 2024
Presenting at main conference November 5th-7th, 2024
 

Novelty will be assessed along two dimensions: scientific novelty and technical novelty. Accepted papers at ICMI 2024 will need to be novel along one of the two dimensions:

  • Scientific Novelty: Papers should bring new scientific knowledge about human social interactions, including human-computer interactions. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children’s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper.
  • Technical Novelty: Papers should propose novelty in their computational approach for recognizing, generating or modeling multimodal data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated with new usages of an existing approach.

Commitment to ethical conduct is required and submissions must adhere to ethical standards in particular when human-derived data are employed. Authors are encouraged to read the ACM Code of Ethics and Professional Conduct (https://ethics.acm.org/).

 
Theme
 

The theme of this year’s ICMI conference revolves around “Equitability and environmental sustainability in multimodal interaction technologies.” The focus is on exploring how multimodal systems and multimodal interactive applications can serve as tools to bridge the digital divide, particularly in underserved communities and countries, with a specific emphasis on those in Latin America and the Caribbean. The conference aims to delve into the design principles that can render multimodal systems more equitable and sustainable in applications such as health and education, thereby catalyzing positive transformations in development for historically marginalized groups, including racial/ethnic minorities and indigenous peoples. Moreover, there is a crucial exploration of the intersection between multimodal interaction technologies and environmental sustainability. This involves examining how these technologies can be crafted to comprehend, disseminate, and mitigate the adverse impacts of climate change, especially in the Latin America and Caribbean region. The conference endeavors to explore the potential of multimodal systems in fostering community resilience, raising awareness, and facilitating education related to climate change, thereby contributing to a holistic approach that encompasses both social and environmental dimensions.


Additional topics of interest include but are not limited to:

  • Affective computing and interaction
  • Cognitive modeling and multimodal interaction
  • Gesture, touch and haptics
  • Healthcare, assistive technologies
  • Human communication dynamics
  • Human-robot/agent multimodal interaction
  • Human-centered A.I. and ethics
  • Interaction with smart environment
  • Machine learning for multimodal interaction
  • Mobile multimodal systems
  • Multimodal behaviour generation
  • Multimodal datasets and validation
  • Multimodal dialogue modeling
  • Multimodal fusion and representation
  • Multimodal interactive applications
  • Novel multimodal datasets
  • Speech behaviours in social interaction
  • System components and multimodal platforms
  • Visual behaviours in social interaction
  • Virtual/augmented reality and multimodal interaction

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