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🏛️ The Human-Computer Interaction Crypt
cs.HC: Where Human-Computer Interaction papers rest without their code.
14886
Total Papers
12479
No Code
238
Twilight
2169
Has Code
14.6%
Survival Rate
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Factory Operators' Perspectives on Cognitive Assistants for Knowledge Sharing: Challenges, Risks, and Impact on Work
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Feature-Prescribed Iterative Learning Control of Waggle Dance Movement for Social Motor Coordination in Joint Actions
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SensoPatch: A Reconfigurable Haptic Feedback with High-Density Tactile Sensing Glove
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Perceptual Analysis of Groups of Virtual Humans Animated using Interactive Platforms
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Electro-Mechanical Contact Interactions Between Human Finger and Touchscreen Under Electroadhesion
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Visualization of Age Distributions as Elements of Medical Data-Stories
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Attitudes and perceived effectiveness among first-time online instructors during Covid-19
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From Graphs to Words: A Computer-Assisted Framework for the Production of Accessible Text Descriptions
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Exploring the Roles of NLP-based Dialog Indicators in Predicting User Experience in interacting with Large Language Model System
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Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
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Towards a Better Modqueue: Designing for Diversity Across Moderator Objectives and Workflows
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Interaction Techniques for User-friendly Interfaces for Gate-based Quantum Computing
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PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research
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InsightPulse: An IoT-based System for User Experience Interview Analysis
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EvAlignUX: Advancing UX Evaluation through LLM-Supported Metrics Exploration
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Improving Emotion Recognition Accuracy with Personalized Clustering
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Improving the Accessibility of Dating Websites for Individuals with Visual Impairments
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MobileViews: A Million-scale and Diverse Mobile GUI Dataset
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Seeing is Believing: The Role of Scatterplots in Recommender System Trust and Decision-Making
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Sportoonizer: Augmenting Sports Highlights' Narration and Visual Impact via Automatic Manga B-Roll Generation
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Designing an Intervention Tool for End-User Algorithm Audits in Personalized Recommendation Systems
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Exploring the Lands Between: A Method for Finding Differences between AI-Decisions and Human Ratings through Generated Samples
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