GASTRO-X

Outputs

On the table

Open tools, data and papers, added as they are released.

✕

Coming soon

I.Waste-Culinary Benchmark2027

Open framework to evaluate AI recipe generation

II.Gastrophysics Prompt Handbook2027

Crossmodal prompting guidelines for AI models

III.Experiment data and code2028

From the cross-country trust experiment

IV.Demo app and source code2028

Open-source kitchen assistant

Publications

None yet. Earlier work that led to the project:

  • Califano, G., Zhang, T., & Spence, C. (2025). When and why do users trust AI in the kitchen? A hybrid modelling approach to the adoption of AI-assisted cooking. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2025.2505154
  • Califano, G., Zhang, T., & Spence, C. (2024). Would you trust an AI chef? Examining what people think when AI becomes creative with food. International Journal of Gastronomy and Food Science, 37, 100973. https://doi.org/10.1016/j.ijgfs.2024.100973
  • Califano, G., & Spence, C. (2024). Assessing the visual appeal of real/AI-generated food images. Food Quality and Preference, 116, 105149. https://doi.org/10.1016/j.foodqual.2024.105149