Academic Journal
Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research
| Title: | Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research |
|---|---|
| Authors: | Shuai Yuan, Fu Li, Matthew H. E. M. Browning, Mondira Bardhan, Kuiran Zhang, Olivia McAnirlin, Muhammad Mainuddin Patwary, Aaron Reuben |
| Source: | Frontiers in Psychology, Vol 15 (2024) |
| Subject Terms: | environmental psychology, generative artificial intelligence, ChatGPT, research methods, research ethics, Psychology, BF1-990 |
| Publisher Information: | Frontiers Media S.A., 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Psychology |
| Description: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1664-1078 |
| Relation: | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1295275/full; https://doaj.org/toc/1664-1078 |
| DOI: | 10.3389/fpsyg.2024.1295275 |
| Access URL: | https://doaj.org/article/2201610827a04b45a010d344b37c2f5c |
| Accession Number: | edsdoj.2201610827a04b45a010d344b37c2f5c |
| ISSN: | 16641078 |
| DOI: | 10.3389/fpsyg.2024.1295275 |
| Database: | Directory of Open Access Journals |