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在环境心理学研究中利用和谨慎使用ChatGPT和其他生成人工智能工具
Shuai Yuan1, Fu Li1, Matthew H E M Browning1
1Virtual Reality and Nature Lab, Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, United States.
Frontiers in psychology
|April 23, 2024
概括
生成型人工智能 (GAI) 为环境心理学提供了新的研究途径,但道德考虑对于负责任的使用至关重要. 本视角探讨了GAI的应用以及学术融合所需的指导方针.
科学领域:
- 环境心理学 环境心理学
- 人工智能的人工智能
- 人与环境的互动 互动
背景情况:
- 生成型人工智能 (GAI) 是一个快速发展的技术,对学术研究有重大影响.
- 将像ChatGPT这样的GAI工具集成到包括环境心理学在内的科学学科中,既带来了机遇,也带来了挑战.
- 现有的研究框架可能无法充分解决科学调查中GAI的独特方面.
研究的目的:
- 在环境心理学研究中探索生成人工智能 (GAI) 工具的相关性和关注点.
- 提出一个框架来对GAI在环境心理学中的使用进行分类.
- 突出将GAI纳入学术实践所需的伦理考虑和必要的调整.
主要方法:
- 在环境心理学背景下对GAI工具 (例如,ChatGPT) 的概念分析和讨论.
- 开发GAI的三个建议使用类别:综合理解,实际实施和外部沟通.
- 这些类别的插图与与绿色空间好处,理论构建和视觉模拟相关的例子.
主要成果:
- GAI工具可以用于综合理解 (例如,绿色空间的好处),实际实施 (例如,理论构建,视觉模拟) 和外部通信.
- 将GAI带来的生产力提升与潜在的伦理问题进行平衡是必不可少的.
- 该研究指出,需要制定伦理准则,提供专业培训,并对学术评估系统进行调整.
结论:
- 生成型人工智能为环境心理学研究提供了有价值的应用,增强了理解和实施.
- 解决伦理问题和制定明确的指导方针对于负责任地采用GAI至关重要.
- 促进建设性对话和调整学术结构是成功整合GAI工具的必要条件.
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