Imagen de Portada

Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cabrero-Daniel, Beatriz, Herda, Tomas, Pichler, Victoria, Eder, Martin
Formato:	Preprint
Publicado:	2024
Materias:	Software Engineering Artificial Intelligence Human-Computer Interaction
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering
por: Treude, Christoph, et al.
Publicado: (2025)

Exploring the Efficacy of Robotic Assistants with ChatGPT and Claude in Enhancing ADHD Therapy: Innovating Treatment Paradigms
por: Berrezueta-Guzman, Santiago, et al.
Publicado: (2024)

Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
por: Nghiem, Khanh, et al.
Publicado: (2024)

"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants
por: Lyu, Yunbo, et al.
Publicado: (2025)

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development
por: Geyer, Werner, et al.
Publicado: (2025)

The Impact of LLM-Assistants on Software Developer Productivity: A Systematic Review and Mapping Study
por: Mohamed, Amr, et al.
Publicado: (2025)

From Correctness to Collaboration: Toward a Human-Centered Framework for Evaluating AI Agent Behavior in Software Engineering
por: Dong, Tao, et al.
Publicado: (2025)

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
por: Pu, Kevin, et al.
Publicado: (2025)

An Exploratory Study of ML Sketches and Visual Code Assistants
por: Gomes, Luís F., et al.
Publicado: (2024)

Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanisms
por: Tahir, Hassam, et al.
Publicado: (2026)

AI and Agile Software Development: From Frustration to Success -- XP2025 Workshop Summary
por: Herda, Tomas, et al.
Publicado: (2025)

Collaborative AI in Sentiment Analysis: System Architecture, Data Prediction and Deployment Strategies
por: Zhang, Chaofeng, et al.
Publicado: (2024)

AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
por: Becerra, Alvaro, et al.
Publicado: (2026)

How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale
por: Falk, Jeanette, et al.
Publicado: (2025)

NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation
por: Mishra, Pratik, et al.
Publicado: (2025)

Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants
por: Chopra, Bhavya, et al.
Publicado: (2024)

"I'm Not Reading All of That": Understanding Software Engineers' Level of Cognitive Engagement with Agentic Coding Assistants
por: Catalan, Carlos Rafael, et al.
Publicado: (2026)

Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
por: Sergeyuk, Agnia, et al.
Publicado: (2025)

Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Development
por: Escobedo, Salvador D.
Publicado: (2025)

Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts
por: Lauer, Chantale, et al.
Publicado: (2026)

The Role of Generative AI in Software Student CollaborAItion
por: Kiesler, Natalie, et al.
Publicado: (2025)

LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
por: Steigerwald, Philipp, et al.
Publicado: (2026)

FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use
por: Weber, Ingo, et al.
Publicado: (2024)

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions
por: Alfageeh, Ali, et al.
Publicado: (2025)

The SPACE of AI: Real-World Lessons on AI's Impact on Developers
por: Houck, Brian, et al.
Publicado: (2025)

Using an LLM to Help With Code Understanding
por: Nam, Daye, et al.
Publicado: (2023)

Qualitative Evaluation of LLM-Designed GUI
por: Sawicki, Bartosz, et al.
Publicado: (2026)

Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
por: Treude, Christoph, et al.
Publicado: (2025)

On AI-Inspired UI-Design
por: Wei, Jialiang, et al.
Publicado: (2024)

Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering
por: Ferino, Samuel, et al.
Publicado: (2026)

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
por: Merten, Gaspard, et al.
Publicado: (2025)

A Workflow-Oriented Framework for Asynchronous Human-AI Collaboration in Hybrid and Compute-Intensive HPC Environments
por: Mendoza, Sergio, et al.
Publicado: (2026)

CentaurEval: Benchmarking Human-in-the-Loop Value in Agentic Coding
por: Luo, Hanjun, et al.
Publicado: (2025)

AI-Guided Exploration of Large-Scale Codebases
por: Alebachew, Yoseph Berhanu
Publicado: (2025)

AI-Enhanced Operator Assistance for UNICOS Applications
por: Tam, Bernard, et al.
Publicado: (2025)

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
por: Li, Yuanchun, et al.
Publicado: (2024)

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering
por: Zhang, Tanghaoran, et al.
Publicado: (2024)

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
por: Zhang, Yifan, et al.
Publicado: (2024)

AI for Requirements Engineering: Industry adoption and Practitioner perspectives
por: Rani, Lekshmi Murali, et al.
Publicado: (2025)

Toward Epistemic Stability: Engineering Consistent Procedures for Industrial LLM Hallucination Reduction
por: Freeman, Brian, et al.
Publicado: (2026)