# IUI — International Conference on Intelligent User Interfaces

- **Submission deadline**: 2026-08-13
- **Notification date**: 2026-11-23
- **Conference date**: 2027-02-08
- **Location**: Helsinki, Finland
- **Rankings**: CCF B · CORE A · QUALIS A1
- **Conference Partner Index**: 77.8/100 (ranked #221, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 50
- **Attendees**: 9
- **Canonical page**: https://www.myhuiban.com/conference/1409

## Call for papers

Topics IUI 2027 topics of interest include, but are not limited to: 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 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 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

## Related conferences

- 3DUI — IEEE Symposium on 3D User Interfaces — https://www.myhuiban.com/conference/954
- CUI — Conversational User Interfaces — https://www.myhuiban.com/conference/3684
- VR — IEEE Conference on Virtual Reality and 3D User Interfaces — https://www.myhuiban.com/conference/550
- AutoUI — International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications — https://www.myhuiban.com/conference/3677
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421

## Related journals

- Neurocomputing — https://www.myhuiban.com/journal/234
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Engineering Applications of Artificial Intelligence — https://www.myhuiban.com/journal/209
- Pattern Recognition — https://www.myhuiban.com/journal/198
- Advanced Engineering Informatics — https://www.myhuiban.com/journal/108

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Source: Conference Partner — https://www.myhuiban.com/conference/1409 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)
