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IUI 2027: International Conference on Intelligent User Interfaces
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Día de Entrega:
Fecha de Notificación:
Fecha de Conferencia:
2027-02-08
Ubicación:
Helsinki, Finland
Años:
32
CCF: b   CORE: a   QUALIS: a1   Vistas: 43269   Seguidores: 50   Asistentes: 9

Solicitud de Artículos 
Welcome

The 2027 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.
Última Actualización Por Dou Sun en 2026-04-01
Los Mejores Artículos
AñoLos Mejores Artículos
2025Text-to-Image Generation for Vocabulary Learning Using the Keyword Method
2023Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
2023Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing
2023ScatterShot: Interactive In-context Example Curation for Text Transformation
2022Deep Learning Uncertainty in Machine Teaching
2022Hand Gesture Recognition for an Off-the-Shelf Radar by Electromagnetic Modeling and Inversion
2022Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
2022Estimating 3D Finger Pose via 2D-3D Fingerprint Matching
2022Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes
2019Photo sleuth: combining human expertise and face recognition to identify historical portraits
2019The effects of example-based explanations in a machine learning interface
2019When people and algorithms meet: user-reported problems in intelligent everyday applications
2019Explaining models: an empirical study of how explanations impact fairness judgment
2019The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images
2019Personalized explanations for hybrid recommender systems
2019Smell Pittsburgh: community-empowered mobile smell reporting system
2016TagFlip: Active Mobile Music Discovery with Social Tags
2016Adaptive Contextualization: Combating Bias During High-Dimensional Visualization and Data Selection
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