Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25619161%3A_____%2F24%3AN0000014" target="_blank" >RIV/25619161:_____/24:N0000014 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-981-97-1552-7_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-97-1552-7_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-97-1552-7_8" target="_blank" >10.1007/978-981-97-1552-7_8</a>
Alternative languages
Result language
angličtina
Original language name
Gastronomic Consumers’ Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Marketing and Smart Technologies
ISBN
978-981-97-1551-0
Number of pages of the result
15
Pages from-to
105-119
Number of pages of the book
883
Publisher name
SpringerLink
Place of publication
Singapur
UT code for WoS chapter
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