Han, Shu (A.A. 2024/2025) Determining the validity of generative artificial intelligence (GenAI) for emotional perception and decision-making. Tesi di Laurea in Machine learning in marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 205. [Master's Degree Thesis]

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Abstract/Index

Theoretical background. Emotions and decision-making. Genai’s emotion-related capabilities. Conceptual framework and hypotheses. Conceptual framework. Hypotheses. Study 1: determining the similarity in emotional perception of others between GenAI and humans. Design and participants. Pre-test. Measures. Discussion. Study 2: determining the similarity in emotional perception of oneself between GenAI and humans. Study 3: determining the similarity in one-round emotional decision-making between GenAI and humans. Study 4: determining the similarity in multi-round emotional decision-making between GenAI and humans. Data preprocessing and validity check. Study 5: determining the existence of boundary of similarity between GenAI and humans. Study 5a: determining the existence of boundary of similarity in the context of high-tech innovation. Study 5b: determining the existence of boundary of similarity in the context of radical innovation.

References

Bibliografia: pp. 81-89.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair:	Machine learning in marketing
Thesis Supervisor:	Laura, Luigi
Thesis Co-Supervisor:	Calluso, Cinzia
Academic Year:	2024/2025
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	21 Oct 2025 14:01
Last Modified:	21 Oct 2025 14:01
URI:	https://tesi.luiss.it/id/eprint/43449

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