会议信息

IUI 2027: International Conference on Intelligent User Interfaces

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截稿日期:
2026-08-13 已截稿
通知日期:
2026-11-23
会议日期:
2027-02-08
会议地点:
Helsinki, Finland
届数:
32
CCF: B   ICORE: A   QUALIS: A1   浏览: 50505   关注: 50   参加: 9
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会伴指数 (CP-I)

77.8 / 100
全站第 226 名 / 共 5,763 个会议 · 前 4%

人机交互 第 9 / 155

学术认可 (35%)
100
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
94
社区关注 (10%)
64
资料公开度 (15%)
50

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A1 · 有据可查的届次：32 · 在会伴关注它的研究者：50 人 · 过去 24 个月打开过本页的研究者：33 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-30

征稿

IUI 2027 (International Conference on Intelligent User Interfaces) is a CCF B / ICORE A / QUALIS A1 conference held in Helsinki, Finland on 2027-02-08. The paper submission deadline is 2026-08-13. Acceptance notifications are sent on 2026-11-23.

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
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BSoftware & Systems Modeling3.2Springer1619-1366
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