巨人实验室开放式黑客马拉松数据集:用于工程设计中的原型设计的生成性AI和大型语言模型
Daniel Nygård Ege1, Henrik H Øvrebø1, Vegar Stubberud1
1Norwegian University of Science and Technology, Richard Birkelands vei 2B, Trondheim 7034, Norway.
Data in brief
|March 29, 2024
概括
生成性人工智能 (ChatGPT) 在设计黑客马拉松中与工程学生竞争,展示了竞争力的表现. 这一数据集提供了对AI的洞察力.
科学领域:
- 工程设计 工程设计 工程设计
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 将生成人工智能集成到工程设计流程中正在迅速发展.
- 在设计任务中,对人类专家进行AI性能评估的比较研究至关重要.
- 对于此类分析,TrollLabs开放数据集提供了一个独特的资源.
研究的目的:
- 将生成性AI (ChatGPT) 团队的设计实践和结果与经验丰富的人类工程学生进行比较.
- 策划和发布一个全面的数据集从一个原型化黑客马拉松开放研究.
- 在工程设计的早期阶段,为AI能力提供一个基准.
主要方法:
- 进行了一场原型设计黑客马拉松,其中一个团队由ChatGPT自主指导,五个基线团队由经验丰富的工程学生组成.
- 参与者设计和原型一个装置发射NERF箭头.
- 数据收集包括原型属性 (116条条目,433个连接),人工智能与人类交互的成绩单 (97次交换),以及客观的团队绩效指标.
主要成果:
- 由人工智能指导的团队在六支竞争团队中获得了第二名.
- 数据集使人工智能和人类团队之间的设计策略和结果进行比较分析.
- 使用Pro2booth平台捕获了原型和交互日志.
结论:
- 托罗尔实验室开放数据集是第一个直接比较工程设计环境中的生成人工智能和人类团队的数据集.
- 这些发现表明,生成人工智能可以在设计挑战中表现出竞争力.
- 这个资源对研究人员,学生,教育工作者和专业人士来说非常有价值,他们正在探索AI在设计中的整合.
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