Communication Dans Un Congrès Année : 2024

When Artificial Intelligence meets expertise: A methodological approach applied to the Album On Line (AOL) method

Résumé

This paper proposes Artificial Intelligence (AI) as a solution to cope with the researcher's subjectivity when interpreting qualitative material. Applied to the Album On Line (AOL) method, we combine the use of generative AI (8 different chatbots) and semantic AI using Natural Language Processing (NLP) to improve the validity of the outcoming mapping. Ultimately, the outcomes generated by artificial intelligence (AI) are compared with those derived from researchers' efforts. This study aims to provide a broader vision of the world of AI and its possible contribution to research. In this regard, AI enhances efficiency, saves time, and improves result quality. This study contributes to the enrichment of the researcher's toolbox by presenting how to exploit AI in favor of research.

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Dates et versions

hal-04841272 , version 1 (16-12-2024)

Identifiants

  • HAL Id : hal-04841272 , version 1

Citer

Yassine Chamsi, Julien Couder, Pierre Valette-Florence. When Artificial Intelligence meets expertise: A methodological approach applied to the Album On Line (AOL) method. Society for Marketing Advances (SMA) 2024 conference, Nov 2024, Tampa (Florida), United States. ⟨hal-04841272⟩

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