AI-driven visuals: how they shape health and taste preferences in vegetarian dining

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This study explores the impact of AI-generated images on consumer motivation to choose vegetarian restaurants, addressing concerns about food quality, taste, and nutrition. Using Expectancy-Value Theory, two studies are conducted: Study 1 examines the effects of specific types of AI-generated images, and Study 2 investigates the interaction between image type and consumer preference on purchase intention. Results show that taste-driven consumers prefer realistic images, while health-conscious consumers favor hand-drawn ones. This research contributes to understanding AI’s role in marketing by demonstrating how different AI-generated images influence consumer behavior and preferences in the context of vegetarian dining.

Original languageEnglish
JournalJournal of Foodservice Business Research
Early online dateDec 2024
DOIs
Publication statusPublished - Dec 2024

Keywords

  • AI-generated image
  • food quality
  • taste
  • vegetarian dining

ASJC Scopus subject areas

  • Food Science

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