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.  

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/).

ICMI 2024 conference 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