🏛️ 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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In-person, Online and Back Again -- A Tale of Three Hybrid Hackathons
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Fine-Tuning Large Language Models Using EEG Microstate Features for Mental Workload Assessment
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Exploring Micro Accidents and Driver Responses in Automated Driving: Insights from Real-world Videos
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Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUI
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SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI
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Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas
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Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers
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Viewpoint-Tolerant Depth Perception for Shared Extended Space Experience on Wall-Sized Display
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Perceiving Slope and Acceleration: Evidence for Variable Tempo Sampling in Pitch-Based Sonification of Functions
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Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators
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AdjustAR: AI-Driven In-Situ Adjustment of Site-Specific Augmented Reality Content
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Understanding Pedestrian Gesture Misrecognition: Insights from Vision-Language Model Reasoning
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Toward a Logic of Generalization about Visualization as a Decision Aid
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ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets
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Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data
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Zombitron: towards a toolbox for repurposing obsolete smartphones into new interactive systems
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Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance
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Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models
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A Multimodal Framework for Understanding Collaborative Design Processes
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Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning
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It's a Complete Haystack: Understanding Dependency Management Needs in Computer-Aided Design
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ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
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