The ACM Conference on Intelligent User Interfaces (ACM IUI) is the annual premiere venue where researchers and practitioners meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques and systems.

Contributions are welcome from all relevant arenas, including academia, industry, government, and non-profit organizations. We strongly believe that diverse insights are critical to the vitality of the IUI community and the conference will accept papers for both long and short oral presentations. Contributions to IUI are expected to be supported by rigorous evidence appropriate to the claims (e.g., user study, system evaluation, computational analysis).

Topics

IUI topics of interest include, but are not limited to:

Human-centered AI methods, approaches, and systems

    Explainable AI methods
    Democratization of AI
    Persuasive technologies in IUI
    Privacy and security of IUI
    Recommendations in IUI
    Knowledge-based approaches to user interface design and generation
    User modelling for intelligent interfaces
    User-adaptive interaction and personalization
    IUI for crowd computing and human computation
    Human control in daily automations

Computational innovation

    Interactive machine learning
    Human-in-the loop AI testing and debugging
    Human-centered recommendation and recommender systems
    Generative models
    Human-in-the-loop reinforcement learning
    Intelligent user interfaces for generative AI

Innovative User Interfaces

    Affective interfaces
    Intelligent aesthetic interfaces
    Intelligent collaborative interfaces
    Intelligent AR/VR interfaces
    Intelligent visualization and visual analytics
    Intelligent wearable and mobile interfaces
    Intelligent tangible interfaces

Intelligent Multimodal Systems

    Embodied agents
    Multimodal AI assistants
    Intelligent multimodal interfaces
    Evaluations of Intelligent User Interfaces
    User experiments and studies
    Reproducibility (including benchmarks, datasets, and challenges)
    Meta-analysis
    Mixed-methods evaluations

Intelligent Applications

    Education and learning-related technologies
    Healthcare and wellbeing
    Automotive
    Assistive technologies
    Entertainment
    Workplace happiness
    Social media
    Information retrieval
    Internet of things (IoT)
    Smart homes
    Generative AI

Large Language Models

    End-user interaction with LLMs and Multimodal models (e.g., chatbots, image generation)
    LLMs in the workplace
    Trustworthy LLMs
    Bias in LLMs
    The effects of LLMs use on creative tasks
    Personalized user interaction with LLMs
    Prompt Engineering
    User control and steering of LLMs (e.g. RLHF)