Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917647934816256 |
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| author | Cabrero-Daniel, Beatriz Herda, Tomas Pichler, Victoria Eder, Martin |
| author_facet | Cabrero-Daniel, Beatriz Herda, Tomas Pichler, Victoria Eder, Martin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14871 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants Cabrero-Daniel, Beatriz Herda, Tomas Pichler, Victoria Eder, Martin Software Engineering Artificial Intelligence Human-Computer Interaction 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. |
| title | Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants |
| topic | Software Engineering Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2404.14871 |