关于敏捷软件开发团队互动的多模式实验数据集
Diego Miranda1, Carlos Escobedo1, Dayana Palma1
1Escuela de Ingeniería Informática, Unviersidad de Valparaíso, Valparaíso, Chile.
Data in brief
|July 18, 2025
概括
本研究引入了一套新的多式联运数据集,用于分析敏捷开发团队中的协作动态. 它捕捉了口头和非口头沟通,以了解团队的有效性和决策.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 心理学 心理学 心理学
背景情况:
- 在敏捷团队中分析协作动态需要丰富的多模式数据.
- 现有的数据集往往缺乏足够的深度来捕捉微妙的团队互动.
- 模拟的团队工作环境对于受控的数据收集至关重要.
研究的目的:
- 展示模拟敏捷开发团队的新型多式联运数据集.
- 促进在团队工作中学习语言和非语言沟通.
- 支持对影响团队效率和决策的因素的研究.
主要方法:
- 收集了来自19个模拟敏捷团队 (76名参与者) 在两个协作活动 (有或没有计划克) 中收集的数据.
- 使用MediaPipe,YOLOv8和DeepSort来捕捉非语言行为 (姿势,表情,注意力,手势).
- 嵌入式音频录音,自动转录 (WhisperX),注意日志,模仿标签和调查.
主要成果:
- 该数据集提供了在敏捷环境中协作行为的全面视图.
- 它可以对相互作用进行定性分析,并开发预测性绩效模型.
- 探讨共享视觉注意力和行为同步对团队结果的影响.
结论:
- 这一多式联运数据集为各个领域的研究人员提供了一个独特的资源.
- 它通过对沟通方式的综合分析来推进对团队动态的理解.
- 促进AI模型的开发,用于在敏捷环境中预测小组表现.
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