人工智能与人工交通专题分析结果比较

Findings Pub Date : 2024-03-07 DOI:10.32866/001c.94401
Thiago Carvalho, Hisham Negm, A. El-geneidy
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引用次数: 0

摘要

人工智能(AI)工具(尤其是大型语言模型)有可能缩短进行专题分析所需的时间。为了更好地了解这些工具在交通领域的应用潜力,我们比较了人工智能和人工智能的成果。我们的研究结果表明,人工智能工具(如 ChatGPT)可以综合并概括我们数据集中的主要话题,无论用户以前是否接触过该主题。不过,由于结果可能会忽略不常见主题的细微差别,因此需要谨慎对待。在征得应答者同意并遵守道德规范的情况下,可以在研究人员和从业人员的监督下使用这些工具来加快进程。
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A Comparison of the Results from Artificial Intelligence-based and Human-based Transport-related Thematic Analysis
Artificial intelligence (AI) tools (in particular Large Language Models) have the potential to reduce the time needed to perform thematic analysis. To better understand their potential in the transportation field, we compare human-based to AI-based outcomes. Our findings indicate that AI tools, such as ChatGPT, could synthetize and summarize major topics present in our dataset regardless of previous user exposure to the subject or not. Nonetheless, caution is required as results might miss the nuance of less frequent themes. These tools could be used to accelerate the process under the supervision of researchers and practitioners given responder consent and the following of ethical practices.
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