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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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超越快速工程:探索与生成AI进行协作对话,以解决问题

Sung Hyun Lee1, John A Velez1, Dae-Won Noh2

  • 1Communication Science Unit in The Media School, Indiana University, Bloomington, IN, USA.

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概括

人与人工智能交互中的话语实践显著改善了使用ChatGPT的协作解决问题. 将人类沟通原则应用于人工智能对话,增强了共享认知和用户使用生成性AI (GenAI) 的意图.

关键词:
合作 合作 合作 合作话语实践中的话语实践.生成型的人工智能人类与人工智能之间的互动.技术接受模式的模型.

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科学领域:

  • 人与计算机的交互
  • 人工智能的人工智能
  • 沟通研究 沟通研究

背景情况:

  • 生成型人工智能 (GenAI) 迅速改变了人与人工智能的互动.
  • 了解话语实践对于有效的人类-人工智能合作至关重要.
  • 现有的研究往往忽视了人工智能背景下对话动态的细微差别.

研究的目的:

  • 调查特定的话语实践如何影响人类和ChatGPT之间的协作解决问题.
  • 检查共享认知在调解话语实践与团队效率之间的关系中的作用.
  • 评估共享认知对技术接受模型 (TAM) 对人工智能使用的构造的影响.

主要方法:

  • 这项研究以小组动态为基础,分析了三个话语实践:构建,共同构建和建设性冲突.
  • 参与者与ChatGPT一起参与了一个月的创意写作项目.
  • 调查测量了话语实践,共享认知,团队有效性和TAM变量.

主要成果:

  • 话语实践显著预测了共享认知.
  • 共享认知调解了话语实践和感知到的团队有效性之间的联系.
  • 共享认知通过感知易用性和有用性,积极影响使用ChatGPT的行为意图.

结论:

  • 人与人沟通的原则适用于人与人工智能的互动,并对其有益.
  • 聊天GPT展示了反映和互惠用户话语实践的能力.
  • 优化与GenAI的对话,类似于提示工程,是一个可行的未来方向.