生成型人工智能对认知努力和任务执行的影响:大学生随机对照实验的研究协议
Youjie Chen1,2, Yingying Wang3, Torsten Wüstenberg4
1Department of Information Science, Cornell University, Ithaca, USA. yc2669@cornell.edu.
Trials
|July 11, 2025
概括
生成型人工智能 (AI) 可能会影响大学生的认知努力和写作技能. 这项研究调查了人工智能.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 教育技术的教育技术
背景情况:
- 生成型人工智能 (AI) 提出了双重可能性:提高生产力或通过过度依赖侵蚀人类认知能力.
- 了解AI在认知中的作用至关重要,特别是在教育环境中.
- 这项研究考察了生成性AI对大学生分析性写作的影响.
研究的目的:
- 研究生成性AI在分析性写作期间对认知努力的因果关系.
- 评估生成性AI在人类-AI协作环境中对写作表现的影响.
- 为负责的人工智能设计和政策提供见解.
主要方法:
- 一个随机控制的实验室实验,比较人工智能使用 (干预) 与不使用 (控制).
- 使用眼睛跟踪和功能近红外光谱 (fNIRS) 来测量认知力度.
- 采用调查来评估参与者对生成人工智能的看法和态度.
主要成果:
- 这项研究旨在建立生成性AI使用,认知努力和写作结果之间的因果关系.
- 数据收集包括生理测量 (眼睛追踪,fNIRS) 和自我报告的感知.
- 结果将量化人工智能对心理资源分配和任务执行的影响.
结论:
- 这项研究将澄清生成性AI对学术写作中的认知过程的影响.
- 结果将为政策制定者提供有关AI监管的信息,并指导开发负责任的AI工具.
- 这项研究为正在进行的关于人工智能增强与人类认知侵蚀的辩论提供了经验证据.
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