Conference Information
IUI 2026: International Conference on Intelligent User Interfaces
https://iui.hosting.acm.org/2026/Submission Date: |
2025-10-03 |
Notification Date: |
2025-12-12 |
Conference Date: |
2026-03-23 |
Location: |
Paphos, Cyprus |
Years: |
31 |
CCF: b CORE: a QUALIS: a1 Viewed: 32930 Tracked: 49 Attend: 8
Call For Papers
The ACM Conference on Intelligent User Interfaces (ACM IUI) is the annual premier 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. This area is crucial as AI is increasingly integrated into everyday technology. Understanding and shaping AI systems for human needs is essential to ensure that AI systems are effective and responsible. As these techniques become increasingly powerful, new use cases and human-AI interactions can be explored. This conference offers an opportunity to focus the research community on important problems at the intersection of AI and HCI and bring together experts from various disciplines to discuss and build on these ideas in workshops, breaks, and networking sessions. Contributions are welcome from all relevant arenas, including academia, industry, government, and non-profit organizations. 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 2026 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 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 Trust and reliance in intelligent systems 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 Intelligent Applications Education and learning-related technologies Healthcare and wellbeing Automotive Assistive technologies Entertainment Workplace happiness Social media Internet of Things (IoT) Smart homes Large Language Models and Agentic AI End-user interaction with LLMs, agents, and multimodal models (e.g., chatbots, image generation) LLMs and agents in the workplace Human-agent interaction and multi-agent systems Bias in LLMs and agents The effects of LLMs and agents use on creative tasks Personalized user interaction with LLMs and agents Prompt engineering User control and steering of LLMs and agents (e.g., RLHF, chaining, instruction tuning) Evaluations of Intelligent User Interfaces User experiments and studies Reproducibility (including benchmarks, datasets, and challenges) Meta-analysis Mixed-methods evaluations
Last updated by Dou Sun in 2025-06-29
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
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IETE Technical Review | 2.500 | Taylor & Francis | 0256-4602 | |
Constraints | 0.500 | Springer | 1383-7133 | |
Photonic Network Communications | 1.800 | Springer | 1387-974X | |
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The Information Society | 3.000 | Taylor & Francis | 0197-2243 |
Full Name | Impact Factor | Publisher |
---|---|---|
IETE Technical Review | 2.500 | Taylor & Francis |
Constraints | 0.500 | Springer |
Photonic Network Communications | 1.800 | Springer |
Advanced Robotics | 1.400 | Taylor & Francis |
IEEE Transactions on Nanobioscience | 3.700 | IEEE |
Journal of Information Technology in Construction | Herman | |
Measurement | 5.2 | Elsevier |
Journal of Global Information Technology Management | 3.000 | Taylor & Francis |
Brain-Computer Interfaces | 1.800 | Taylor & Francis |
The Information Society | 3.000 | Taylor & Francis |
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