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AI-Generated Product Texts: A Quantitative Analysis of Product Description Perceptions

In: Generative Künstliche Intelligenz in Marketing und Sales

Author

Listed:
  • Marc Peter

    (Fachhochschule Wedel gGmbH)

  • Jan-Paul Lüdtke

    (Fachhochschule Wedel gGmbH)

Abstract

This study primarily investigates the impact of Artificial Intelligence(AI)-generated product descriptions on the consumer perception of a product. Specifically, the variables of text layout, emotional tone, and product characteristics are manipulated and analyzed within the scope of this research. This study serves as an initial endeavor to understand how various manifestations of these variables influence consumer purchasing decisions and perceived product attractiveness. Utilizing a multifactorial Between-Subjects experimental design, each of the 241 participants was exposed to one of eight distinct AI-generated product descriptions. The study demonstrated significant interaction effects between the variables of text layout and product characteristics, as well as text layout and emotional tone. These results provide a compelling foundation for the optimization of product descriptions in e-commerce, warranting a further exploration in future research.

Suggested Citation

  • Marc Peter & Jan-Paul Lüdtke, 2024. "AI-Generated Product Texts: A Quantitative Analysis of Product Description Perceptions," Springer Books, in: Thomas Bolz & Gabriele Schuster (ed.), Generative Künstliche Intelligenz in Marketing und Sales, chapter 0, pages 283-301, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-45132-5_20
    DOI: 10.1007/978-3-658-45132-5_20
    as

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