Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113435
Title: AI-driven visuals : how they shape health and taste preferences in vegetarian dining
Authors: Chan, J 
Issue Date: 2024
Source: Journal of foodservice business research, Published online: 21 Dec 2024, Latest Articles, https://doi.org/10.1080/15378020.2024.2445886
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.
Keywords: AI-generated image
Food quality
Taste
Vegetarian dining
Publisher: Routledge
Journal: Journal of foodservice business research 
ISSN: 1537-8020
EISSN: 1537-8039
DOI: 10.1080/15378020.2024.2445886
Appears in Collections:Journal/Magazine Article

Open Access Information
Status embaroged access
Embargo End Date 2026-06-21
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Citations as of Dec 19, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.