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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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Design Exploration of AI-assisted Personal Affective Physicalization
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FlexMind: Supporting Deeper Creative Thinking with LLMs
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EMG-UP: Unsupervised Personalization in Cross-User EMG Gesture Recognition
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Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysis
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Even More Kawaii than Real-Person-Driven VTubers? Understanding How Viewers Perceive AI-Driven VTubers
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AuthGlass: Benchmarking Voice Liveness Detection and Authentication on Smart Glasses via Comprehensive Acoustic Features
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Imagining Design Workflows in Agentic AI Futures
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Understanding Mode Switching in Human-AI Collaboration: Behavioral Insights and Predictive Modeling
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Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation
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Visual Tools for Input and Reflection in Social Work
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How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian
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Investigating the Effect of Prior Exposure and Fidelity on Quality and Realism Perception of VR Digital Twins
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MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning
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Interactive Semantic Segmentation for Phosphene Vision Neuroprosthetics
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PolicyPad: Collaborative Prototyping of LLM Policies
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vashTimer: A Multi-Purpose, Multimodal Mobile App For Maintaining Passage of Time by means of Visual, Auditory, Speech, and Haptic Alerts
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Mouse-Guided Gaze: Semi-Supervised Learning of Intention-Aware Representations for Reading Detection
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Facilitating Individuals' Sensemaking about Sedentary Behavior via Contextualized Data
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A Scoping Review of Mixed Initiative Visual Analytics in the Automation Renaissance
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Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning
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Native Mixed Reality Compositing on Meta Quest 3: A Quantitative Feasibility Study of ARM-Based SoCs and Thermal Headroom
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Content and Quality Analysis of mHealth Apps for Feeding Children with Autism Spectrum Disorder
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