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...
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| Main Authors: | Thiago Carvalho, Hisham Negm, Ahmed El-Geneidy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2024-03-01
|
| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.94401 |
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