Image de couverture de livre

Enabling BLV Developers with LLM-driven Code Debugging

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Saben, Clark, Chandrasekar, Prashant
Format:	Preprint
Publié:	2024
Sujets:	Human-Computer Interaction
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLM impact on BLV programming
par: Chandrasekar, Prashant, et autres
Publié: (2025)

Theoretical basis for code presentation: A case for cognitive load
par: Speicher, Nyah, et autres
Publié: (2025)

Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code
par: Bo, Jessica Y., et autres
Publié: (2025)

How Can Haptic Feedback Assist People with Blind and Low Vision (BLV): A Systematic Literature Review
par: Jiang, Chutian, et autres
Publié: (2024)

Sketch Bug: Using Sketch-Based Input for Interactive Code Debugging
par: Chen, Helen Weixu, et autres
Publié: (2026)

Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co-Debugging System
par: Shen, Shuyu, et autres
Publié: (2024)

Civil Servants as Builders: Enabling Non-IT Staff to Develop Secure Python and R Tools
par: Sharma, Prashant
Publié: (2025)

PRIMMDebug: A Debugging Teaching Aid For Secondary Students
par: Gale, Laurie, et autres
Publié: (2025)

How Developers Choose Debugging Strategies for Challenging Web Application Defects
par: Arab, Maryam, et autres
Publié: (2025)

Quantum Image Visualizer: Visual Debugging of Quantum Image Processing Circuits
par: Heim, Anja, et autres
Publié: (2025)

Coding with Eyes: Visual Feedback Unlocks Reliable GUI Code Generating and Debugging
par: Liu, Zhilin, et autres
Publié: (2026)

Not All Scaffolds Are Equal: How Initiation Mode Determines EMME Effectiveness in Debugging
par: Golrang, Anahita, et autres
Publié: (2026)

Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions
par: Kang, Wan Ju, et autres
Publié: (2025)

RTMS: A Real-Time Multimodal Scaffolding System for Improving Debugging in Computing Education
par: Golrang, Anahita, et autres
Publié: (2026)

Inline Visualization and Manipulation of Real-Time Hardware Log for Supporting Debugging of Embedded Programs
par: Bianchi, Andrea, et autres
Publié: (2026)

What is Ethical: AIHED Driving Humans or Human-Driven AIHED? A Conceptual Framework enabling the Ethos of AI-driven Higher education
par: Mahajan, Prashant
Publié: (2025)

Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
par: Salmon, Audrey, et autres
Publié: (2025)

Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions
par: Schön, David, et autres
Publié: (2026)

State of the Art of LLM-Enabled Interaction with Visualization
par: Brossier, Mathis, et autres
Publié: (2026)

LOGOS: LLM-driven End-to-End Grounded Theory Development and Schema Induction for Qualitative Research
par: Pi, Xinyu, et autres
Publié: (2025)

iNNspector: Visual, Interactive Deep Model Debugging
par: Spinner, Thilo, et autres
Publié: (2024)

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
par: Dibia, Victor, et autres
Publié: (2024)

An Exploratory Study on AI-driven Visualisation Techniques on Decision Making in Extended Reality
par: Dong, Ze, et autres
Publié: (2025)

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs
par: Xiang, Yurui, et autres
Publié: (2026)

CodingGenie: A Proactive LLM-Powered Programming Assistant
par: Zhao, Sebastian, et autres
Publié: (2025)

Pull Requests From The Classroom: Co-Developing Curriculum And Code
par: Zyska, Dennis, et autres
Publié: (2025)

Beyond Code Generation: LLM-supported Exploration of the Program Design Space
par: Zamfirescu-Pereira, J. D., et autres
Publié: (2025)

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines
par: Lauro, Quentin Romero, et autres
Publié: (2025)

Every(bot) Makes Mistakes: Coding Big Five Personalities, Context, and Tone into an LLM Chatbot Recovery Code Framework
par: Hill, Rachel, et autres
Publié: (2026)

ShadAR: LLM-driven shader generation to transform visual perception in Augmented Reality
par: Mei, Yanni, et autres
Publié: (2026)

RESPOND: Risk-Enhanced Structured Pattern for LLM-driven Online Node-level Decision-making
par: Chen, Dan, et autres
Publié: (2025)

Conversational Interfaces for Parametric Conceptual Architectural Design: Integrating Mixed Reality with LLM-driven Interaction
par: Ji, Ruochen, et autres
Publié: (2025)

The Observability Gap: Why Output-Level Human Feedback Fails for LLM Coding Agents
par: Wang, Yinghao, et autres
Publié: (2026)

Reflexa: Uncovering How LLM-Supported Reflection Scaffolding Reshapes Creativity in Creative Coding
par: Wang, Anqi, et autres
Publié: (2026)

DexAssist: A Voice-Enabled Dual-LLM Framework for Accessible Web Navigation
par: Mehendale, Shridhar, et autres
Publié: (2024)

SimStep: Chain-of-Abstractions for Incremental Specification and Debugging of AI-Generated Interactive Simulations
par: Kaputa, Zoe, et autres
Publié: (2025)

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
par: Ma, Qianou, et autres
Publié: (2023)

WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization
par: Xie, Liwenhan, et autres
Publié: (2024)

Understanding EFL Learners' Code-Switching and Teachers' Pedagogical Approaches in LLM-Supported Speaking Practice
par: Park, Junyeong, et autres
Publié: (2025)

Enabling Generative Design Tools with LLM Agents for Mechanical Computation Devices: A Case Study
par: Lu, Qiuyu, et autres
Publié: (2024)