ZELENÝ, Jiří, Anna ULRICHOVÁ, Václav FIŠER, Jakub HUSÁK and Darina SVOBODOVÁ. Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation. Online. In Reis, J.L., Zelený, J., Gavurová, B., Santos, J.P.M.d. Marketing and Smart Technologies. Singapore: SpringerLink, 2024, p. 105–119. Smart Innovation, Systems and Technologies, vol 386. ISBN 978-981-97-1551-0. Available from: https://dx.doi.org/10.1007/978-981-97-1552-7_8.
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Basic information
Original name Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation
Authors ZELENÝ, Jiří, Anna ULRICHOVÁ, Václav FIŠER, Jakub HUSÁK and Darina SVOBODOVÁ.
Edition Singapore, Marketing and Smart Technologies, p. 105–119, 15 pp. Smart Innovation, Systems and Technologies, vol 386, 2024.
Publisher SpringerLink
Other information
Original language English
Type of outcome Chapter(s) of a specialized book
Field of Study 50101 Psychology
Country of publisher Singapore
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Organization unit University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
ISBN 978-981-97-1551-0
Doi http://dx.doi.org/10.1007/978-981-97-1552-7_8
Keywords in English Artificial intelligence, Baby Boomers, DALL-E, Generation X, Gen-eration Y, Generation Z, Millennials
Tags International impact, Reviewed
Changed by Changed by: Ing. Jiří Zelený, Ph.D., učo 10755. Changed: 4/6/2024 01:36.
Abstract
The paper aims to identify the differences in attitudes of particular generational segments of gastronomy consumers toward AI-generated food marketing images. DALL-E engine was used to generate 56 images of dishes, which were initially ranked by professional chefs and reduced to a final set of 18 images used for four photo-elicitation focus groups.
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