Gastronomic Consumers’ Attitudes Toward AI-Generated Food
Images: Exploring Different Perceptions Based on Generational
Segmentation

C 2024

Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation

ZELENÝ, Jiří, Anna ULRICHOVÁ, Václav FIŠER, Jakub HUSÁK, Darina SVOBODOVÁ et. al.

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

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

50101 Psychology

Country of publisher

Singapore

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

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

Abstract

V originále

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.

Citovat

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.

@inbook{35026,
   author = {Zelený, Jiří and Ulrichová, Anna and FIŠER, Václav and Husák, Jakub and Svobodová, Darina},
   address = {Singapore},
   booktitle = {Marketing and Smart Technologies},
   doi = {http://dx.doi.org/10.1007/978-981-97-1552-7_8},
   editor = {Reis, J.L., Zelený, J., Gavurová, B., Santos, J.P.M.d.},
   keywords = {Artificial intelligence, Baby Boomers, DALL-E, Generation X, Gen-eration Y, Generation Z, Millennials},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Singapore},
   isbn = {978-981-97-1551-0},
   pages = {105–119},
   publisher = {SpringerLink},
   title = {Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation},
   url = {https://link.springer.com/chapter/10.1007/978-981-97-1552-7_8},
   year = {2024}
}

TY  - CHAP
ID  - 35026
AU  - Zelený, Jiří - Ulrichová, Anna - FIŠER, Václav - Husák, Jakub - Svobodová, Darina
PY  - 2024
TI  - Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation
VL  - Smart Innovation, Systems and Technologies, vol 386
PB  - SpringerLink
CY  - Singapore
SN  - 9789819715510
KW  - Artificial intelligence, Baby Boomers, DALL-E, Generation X, Gen-eration Y, Generation Z, Millennials
UR  - https://link.springer.com/chapter/10.1007/978-981-97-1552-7_8
N2  - 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.
ER  -

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. \textit{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.

Detailed Information on Publication Record