Moderate evidence
More
Three experiments find AI travel images make destinations seem less authentic
Study title: Why AI Looks Less Real: The Role of Cultural Learning Cues in Tourism Destination Imagery
- Evidence type
- Controlled or validated comparison
- Sources
- 1 sourcePeer-reviewed
- Published
- 1 min read
- Truvace record
- TRV-2026-2692cite or check it
Study title: Why AI Looks Less Real: The Role of Cultural Learning Cues in Tourism Destination Imagery
A peer-reviewed study in the Journal of Theoretical and Applied Electronic Commerce Research ran three experiments on how tourists respond to destination marketing images made by generative AI. Compared with images taken by humans, the AI images reduced perceived authenticity and visit intention.
Read the study abstract
Although generative artificial intelligence (AI) has increasingly been used to create destination marketing images, tourists’ responses to such images remain unclear. Prior research has often attributed negative reactions to the visual characteristics of AI-generated images. However, limited attention has been paid to how tourists interpret these images within broader cultural contexts. Drawing on authenticity theory and cultural learning theory, this research examines the effect of image type (AI vs. human) on…
The problem
In three experiments, AI-generated destination marketing images reduced tourists' perceived authenticity and visit intention compared with images taken by humans, and heritage cultural cues made authenticity concerns worse.
In brief
Earlier research mostly blamed negative reactions on the visual look of AI images. This study instead examined how tourists read the images within cultural contexts, drawing on authenticity theory and cultural learning theory.
The type of cultural cue mattered. Salient cultural learning cues raised perceived authenticity and visit intentions overall. Commodified cultural cues softened negative responses to AI images, while heritage cultural cues amplified authenticity concerns.
Main points
- The research used three experiments comparing AI-generated destination images with images taken by humans.
- AI-generated images reduced both perceived authenticity and visit intention relative to human-taken images.
- Salient cultural learning cues raised tourists' perceived authenticity and visit intentions.
- Commodified cultural cues mitigated tourists' negative responses to AI-generated images.
- Heritage cultural cues amplified authenticity concerns about AI-generated images.
- The authors drew on authenticity theory and cultural learning theory to explain the effects.
The full story
Generative AI is increasingly used to create destination marketing images, yet how tourists respond has been unclear. The study tested the effect of image type, AI versus human, on perceived authenticity and visit intention.
Across three experiments, AI images scored lower than human-taken images on both measures. The authors also tested whether cultural learning cues change this pattern, treating them as a moderating factor.
The cue type produced different outcomes. Commodified cultural cues reduced the penalty for AI images, while heritage cues made authenticity concerns stronger. The authors say the findings give destination marketers guidance on where AI images can be deployed effectively.
Sources
1 on file- Journal of Theoretical and Applied Electronic Commerce Researchdoi:10.3390/jtaer21060193
Talk it over
Who carries this cost, and what would have to change to prevent it?
Three experiments find AI travel images make destinations seem less authentichttps://truvace.com/item/why-ai-looks-less-real-the-role-of-cultural-learning-cues-in-tourism-destination
Who carries this cost, and what would have to change to prevent it?
The problem In three experiments, AI-generated destination marketing images reduced tourists' perceived authenticity and visit intention compared with images taken by humans, and heritage cultural cues made authenticity concerns worse.
Answer in the threadHow do we know? What can this kind of evidence show, and what can’t it?
The evidence This rests on a controlled comparison, from Journal of Theoretical and Applied Electronic Commerce Research.
Answer in the threadWhat does it leave open? What else would you want to know before acting on it?
Answer in the threadHave you seen AI used this way where you study, work or live? Did it go the same way?
Answer in the thread
The questions are the same on every record. The details under them are taken from this record as written.
ace
What readers say