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🏛️ The Human-Computer Interaction Crypt
cs.HC: Where Human-Computer Interaction papers rest without their code.
14703
Total Papers
12479
No Code
238
Twilight
1986
Has Code
13.5%
Survival Rate
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The Cartographer
Beyond One-Size-Fits-All: A Survey of Personalized Affective Computing in Human-Agent Interaction
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Writing Tools: Looking Back to Look Ahead
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UndoPort: Exploring the Influence of Undo-Actions for Locomotion in Virtual Reality on the Efficiency, Spatial Understanding and User Experience
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MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired
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Supporting Piggybacked Co-Located Leisure Activities via Augmented Reality
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Trust in Shared Automated Vehicles: Study on Two Mobility Platforms
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Comparing Conventional and Conversational Search Interaction using Implicit Evaluation Methods
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DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
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DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
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Understanding Dynamic Human-Robot Proxemics in the Case of Four-Legged Canine-Inspired Robots
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AutoDOViz: Human-Centered Automation for Decision Optimization
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Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
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Empathetic AI for Empowering Resilience in Games
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Modeling Reliance on XAI Indicating Its Purpose and Attention
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The Impact of Expertise in the Loop for Exploring Machine Rationality
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The Effect of Structural Equation Modeling on Chatbot Usage: An Investigation of Dialogflow
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Advances in Automatically Rating the Trustworthiness of Text Processing Services
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A Valid Self-Report is Never Late, Nor is it Early: On Considering the "Right" Temporal Distance for Assessing Emotional Experience
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Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning
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QButterfly: Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers
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Co-designing Community-based Sharing of Smarthome Devices for the Purpose of Co-monitoring In-home Emergencies
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Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning
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