杠杆(统计)
空间语境意识
透视图(图形)
空间分析
计算机科学
感知
数据科学
理解力
生成语法
人工智能
地理
心理学
遥感
神经科学
程序设计语言
作者
Young-Seok Hwang,Jung‐Sup Um,Biswajeet Pradhan,Tanupriya Choudhury,Stephan Schlueter
标识
DOI:10.1007/s41324-023-00567-5
摘要
Abstract Chat Generative Pre-trained Transformer (ChatGPT), developed by OpenAI, is a prominent AI model capable of understanding and generating human-like text based on input. Since terms and concepts of spatial information are contextual, the applications of ChatGPT on spatial information disciplines can be biased by the perceptions and perspectives of ChatGPT towards spatial information. Therefore, a thorough understanding of the real magnitude and level of comprehension of spatial information by ChatGPT is essential before exploring its potential applications in spatial information disciplines. This article aims to investigate how ChatGPT evaluates spatial information and its potential contributions to 4th Industrial Revolution (Industry 4.0). ChatGPT has summarized a notable perspective on evaluating and utilizing spatial information in the context of the Industry 4.0. The result of this study shows that ChatGPT has a good understanding on contextual concepts related to spatial information. However, it exhibits potential biases and challenges, as its responses lean towards the technological and analytical aspects. The results provide a crucial understanding on how to leverage ChatGPT’s benefits to the fullest while recognizing its constraints, with the aim to enhance the efficacy from the perspective of applications linked to spatial information.
科研通智能强力驱动
Strongly Powered by AbleSci AI