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🏛️ The Human-Computer Interaction Crypt
cs.HC: Where Human-Computer Interaction papers rest without their code.
14818
Total Papers
12479
No Code
238
Twilight
2101
Has Code
14.2%
Survival Rate
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Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
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Free Lunch for User Experience: Crowdsourcing Agents for Scalable User Studies
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HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding
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MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking
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UI-Evol: Automatic Knowledge Evolving for Computer Use Agents
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What Shapes Writers' Decisions to Disclose AI Use?
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Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
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Constructing Algorithmic Authority: How Multi-Channel Networks (MCNs) Govern Live-Streaming Labor in China
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HOT-FIT-BR: A Context-Aware Evaluation Framework for Digital Health Systems in Resource-Limited Settings
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Explanation User Interfaces: A Systematic Literature Review
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Understanding and Supporting Co-viewing Comedy in VR with Embodied Expressive Avatars
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On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction
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Toward Human Centered Interactive Clinical Question Answering System
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SPIRAL integration of generative AI in an undergraduate creative media course: effects on self-efficacy and career outcome expectations
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From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
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The Relational Origins of Rules in Online Communities
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Novobo: Supporting Teachers' Peer Learning of Instructional Gestures by Teaching a Mentee AI-Agent Together
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Truth and Trust: Fake News Detection via Biosignals
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"If anybody finds out you are in BIG TROUBLE": Understanding Children's Hopes, Fears, and Evaluations of Generative AI
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The Cartographer
Exploring Perception-Based Techniques for Redirected Walking in VR: A Comprehensive Survey
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Exploring the Innovation Opportunities for Pre-trained Models
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Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
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