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🏛️ The Human-Computer Interaction Crypt
cs.HC: Where Human-Computer Interaction papers rest without their code.
14764
Total Papers
12479
No Code
238
Twilight
2047
Has Code
13.9%
Survival Rate
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"I Upload...All Types of Different Things to Say, the World of Blindness Is More Than What They Think It Is": A Study of Blind TikTokers' Identity Work from a Flourishing Perspective
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Developing Situational Awareness for Joint Action with Autonomous Vehicles
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A Typology of Decision-Making Tasks for Visualization
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Mixed Reality Heritage Performance As a Decolonising Tool for Heritage Sites
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Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
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TeleAware Robot: Designing Awareness-augmented Telepresence Robot for Remote Collaborative Locomotion
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HIV Client Perspectives on Digital Health in Malawi
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Open vocabulary keyword spotting through transfer learning from speech synthesis
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Visualization for Human-Centered AI Tools
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Exploring Holistic HMI Design for Automated Vehicles: Insights from a Participatory Workshop to Bridge In-Vehicle and External Communication
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SeSaMe: A Framework to Simulate Self-Reported Ground Truth for Mental Health Sensing Studies
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Rapid AIdeation: Generating Ideas With the Self and in Collaboration With Large Language Models
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Just Undo It: Exploring Undo Mechanics in Multi-User Virtual Reality
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generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation
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People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
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Trust Recognition in Human-Robot Cooperation Using EEG
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An Image-based Typology for Visualization
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DiminishAR: Diminishing Visual Distractions via Holographic AR Displays
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SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
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User-Driven Adaptation: Tailoring Autonomous Driving Systems with Dynamic Preferences
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Situated Understanding of Errors in Older Adults' Interactions with Voice Assistants: A Month-Long, In-Home Study
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Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems
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