Data_Sheet_4_Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research.DOCX
收藏NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Data_Sheet_4_Leveraging_and_exercising_caution_with_ChatGPT_and_other_generative_artificial_intelligence_tools_in_environmental_psychology_research_DOCX/25561227
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Generative Artificial Intelligence (GAI) is an emerging and disruptive technology that has attracted considerable interest from researchers and educators across various disciplines. We discuss the relevance and concerns of ChatGPT and other GAI tools in environmental psychology research. We propose three use categories for GAI tools: integrated and contextualized understanding, practical and flexible implementation, and two-way external communication. These categories are exemplified by topics such as the health benefits of green space, theory building, visual simulation, and identifying practical relevance. However, we also highlight the balance of productivity with ethical issues, as well as the need for ethical guidelines, professional training, and changes in the academic performance evaluation systems. We hope this perspective can foster constructive dialogue and responsible practice of GAI tools.
生成式人工智能(Generative Artificial Intelligence,GAI)是一门新兴且兼具颠覆性的技术,已吸引各学科领域研究者与教育工作者的广泛关注。本文探讨了ChatGPT及其他生成式人工智能工具在环境心理学研究中的应用价值与潜在风险。本文提出了生成式人工智能工具的三类应用范畴:整合式情境化理解、务实灵活的落地实施,以及双向对外沟通,并以绿地健康效益、理论构建、视觉模拟及实践相关性识别等主题为例进行了阐释。与此同时,本文也强调需平衡研发产出与伦理议题,呼吁制定伦理准则、开展专业培训并改革学术绩效评价体系。本文期望本视角性论述能够推动生成式人工智能工具的建设性对话与负责任实践。
创建时间:
2024-04-08



