Academic Journal
A Comparison of the Results from Artificial Intelligence-based and Human-based Transport-related Thematic Analysis
العنوان: | A Comparison of the Results from Artificial Intelligence-based and Human-based Transport-related Thematic Analysis |
---|---|
المؤلفون: | Thiago Carvalho, Hisham Negm, Ahmed El-Geneidy |
المصدر: | Findings (2024) |
بيانات النشر: | Findings Press, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Transportation and communications LCC:Urban groups. The city. Urban sociology |
مصطلحات موضوعية: | Transportation and communications, HE1-9990, Urban groups. The city. Urban sociology, HT101-395 |
الوصف: | 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2652-8800 |
Relation: | https://doaj.org/toc/2652-8800 |
DOI: | 10.32866/001c.94401 |
URL الوصول: | https://doaj.org/article/82802e55b7ba40d08e708aa9d87284dd |
رقم الانضمام: | edsdoj.82802e55b7ba40d08e708aa9d87284dd |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 26528800 |
---|---|
DOI: | 10.32866/001c.94401 |