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

Beatriz Cabrero-Daniel, Tomas Herda, Victoria Pichler, Martin Eder
4/23/2024
cs.SEcs.AIcs.HC

No confident code implementation found for this paper.

Abstract

This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting that is part of an in-house Scaled Agile framework. We discuss the critical drivers of success, and establish a link between the use of AI and team collaboration dynamics. We conclude with a list of lessons learnt during the interventions in an industrial context, and provide a assessment checklist for companies and teams to reflect on their readiness level. This paper is thus a road-map to facilitate the integration of AI tools in Agile setups.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice

78% match2025

Joint Activity Design Heuristics for Enhancing Human-Machine Collaboration

77% match2025

The SPACE of AI: Real-World Lessons on AI's Impact on Developers

77% match2025

AI for Better UX in Computer-Aided Engineering: Is Academia Catching Up with Industry Demands? A Multivocal Literature Review

76% match2025

The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settings

76% match2024

ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams

75% match2024

Cite this paper

@article{cabrerodaniel2024exploring,
  title  = {Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants},
  author = {Beatriz Cabrero-Daniel and Tomas Herda and Victoria Pichler and Martin Eder},
  year   = {2024},
  eprint = {2404.14871},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.14871v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2404.14871.svg)](https://codeofpaper.com/paper/2404.14871)

Discussion