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🏛️ The Human-Computer Interaction Crypt
cs.HC: Where Human-Computer Interaction papers rest without their code.
14646
Total Papers
12479
No Code
238
Twilight
1929
Has Code
13.2%
Survival Rate
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ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles
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GenQuery: Supporting Expressive Visual Search with Generative Models
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Conversational AI-Powered Design: ChatGPT as Designer, User, and Product
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Scalability of Network Visualisation from a Cognitive Load Perspective
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Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications
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Integrating Taxonomies into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework
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Semi-Automated SVG Programming via Direct Manipulation
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ScratchR: Sharing User-generated Programmable Media
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From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
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Interacting with next-phrase suggestions: How suggestion systems aid and influence the cognitive processes of writing
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Privacy-Preserving Brain-Computer Interfaces: A Systematic Review
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Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
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"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents
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Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
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DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation
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Human Uncertainty in Concept-Based AI Systems
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Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
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Human Trust-based Feedback Control: Dynamically varying automation transparency to optimize human-machine interactions
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Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates
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Touch? Speech? or Touch and Speech? Investigating Multimodal Interaction for Visual Network Exploration and Analysis
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Pedagogical Agents for Fostering Question-Asking Skills in Children
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Emotion Recognition From Gait Analyses: Current Research and Future Directions
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