How does ChatGPT evaluate the value of spatial information in the 4th industrial revolution?

Hwang, YS; Um, JS; Pradhan, B; Choudhury, T; Schlueter, S

How does ChatGPT evaluate the value of spatial information in the 4th industrial revolution?

Hwang, YS Um, JS Pradhan, B

Choudhury, T Schlueter, S

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Spatial Information Research, 2023, pp. 1-8
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Hwang, YS
dc.contributor.author	Um, JS
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Choudhury, T
dc.contributor.author	Schlueter, S
dc.date.accessioned	2024-02-18T23:44:19Z
dc.date.available	2024-02-18T23:44:19Z
dc.date.issued	2023-01-01
dc.identifier.citation	Spatial Information Research, 2023, pp. 1-8
dc.identifier.issn	2366-3286
dc.identifier.issn	2366-3294
dc.identifier.uri	http://hdl.handle.net/10453/175730
dc.description.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.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Spatial Information Research
dc.relation.isbasedon	10.1007/s41324-023-00567-5
dc.rights	info:eu-repo/semantics/openAccess
dc.title	How does ChatGPT evaluate the value of spatial information in the 4th industrial revolution?
dc.type	Journal Article
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-18T23:44:18Z
pubs.publication-status	Published

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.

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http://hdl.handle.net/10453/175730