Food & Travel
1 gain0 Traces1 problem
Every measured gain and problem on the record for this topic, newest first.Too few to weigh yet. Updated .
One square per record, darker for stronger evidence:Evidence: 0 high1 moderate1 emerging
2 records so far, too few to weigh yet. Is your study missing? Add it
AI in food and travel
A Trace is one record with both a gain and a problem, so it counts on both sides: 1 record shows a gain and 1 shows a problem. 5 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 0 | 0 |
| ModerateA measured study or an official source | 0 | 1 |
| EmergingEarly, small, unreviewed or reported second-hand | 1 | 0 |
By type of evidence: 1 randomized trial; 1 interview study. How evidence is scored
2 records so far, too few to weigh yet. A written summary appears once a topic has at least 20 counted records, with at least 5 on each side. Is your study missing? Add it
Young immigrant men aged 21-35 in Helsinki said in interviews that generative AI tools like ChatGPT and Gemini lowered language and knowledge barriers when finding recipes and learning cooking techniques.
In two experiments with Chinese and U.S. shoppers (more than 2,300 people), souvenirs labeled AI-generated got lower purchase intention than unlabeled ones, and the effect differed by nationality.
7 records
Two experiments compared consumers from China and the U.S. who saw cultural tourism souvenirs labeled in one of three ways: unlabeled, human-AI co-created, or AI-generated. Study 1 used postcards and Study 2 used mugs and tote bags, with more than 2,300 participants in total.
Journal of Retailing and Consumer Services
A comprehensive review published January 11, 2025 synthesized literature from 1990 to 2024 on AI in food systems, finding that machine learning, deep learning, computer vision and NLP are used for real-time contamination…
This peer-reviewed paper from April 2025 analyzes how digital tourism platforms integrate Industry 4.0 technologies including AI, big data, blockchain, VR and IoT.
A July 2025 review in Frontiers in Nutrition surveys AI at the intersection of nutrition and food systems, detailing methods such as deep learning, federated learning, and computer vision for precision nutrition and…
As of its September 2024 publication, this review describes how the food industry uses AI, including ANN and CNN, to detect quality of food and agricultural products and to pursue more transparent…
Published April 24, 2026, this peer-reviewed review examines the use of explainable AI in Food Engineering. It describes how AI models using spectral imaging are used to detect contaminants and assess…
What happened: In Helsinki, young immigrant men aged 21-35 described routing everyday eating through digital platforms, using apps and chats to find recipes, adapt dishes, and learn techniques, with…
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