Supplementary material and study-level data for "AI-mediated food choice: A systematic evidence map and critical review of personalization, persuasion, consumer agency, and industrial translation

Abstract

# Zenodo deposit metadata Copy the fields below directly into the Zenodo "New upload" form. This file itself is metadata for you to copy from — it is not one of the three files to upload. ## Files to upload - `Supplementary_Material.docx` - `Supplementary_Table_S6.2_Included_Studies_Register.csv` - `Supplementary_Table_S6.3_Study_Characteristics.csv` ## Upload type Dataset ## Title Supplementary material and study-level data for "AI-mediated food choice: A systematic evidence map and critical review of personalization, persuasion, consumer agency, and industrial translation" ## Authors / Creators 1. Ketney, Otto — "Lucian Blaga" University of Sibiu, Department of Agricultural Science and Food Engineering 2. Tifrea, Anca-Maria — ALCALIN SRL ## Description This deposit contains the full Supplementary Material and the two underlying study-level data tables for the systematic evidence map and critical review "AI-mediated food choice: A systematic evidence map and critical review of personalization, persuasion, consumer agency, and industrial translation" (Ketney & Tifrea), submitted to Trends in Food Science & Technology. The review synthesises 197 primary reports on consumer-facing artificial intelligence in food choice, published 2016-2026, retrieved from Scopus, Web of Science, and PubMed, and classified using two original frameworks: the AI Food Choice Architecture (AIFCA) model and the P3D taxonomy (Prediction, Personalization, Persuasion, Delegation). Contents: - **Supplementary_Material.docx** — the complete supplementary material (thirteen sections, S1-S13): search strategy, screening workflow, eligibility criteria and analytical framework, structured review-question framework, included-studies register and report-to-study map, summary of findings, protocol and amendment log, search-update log, data-extraction codebook, structured synthesis without meta-analysis, meta-analysis rationale (not performed), and the PRISMA 2020 checklist. - **Supplementary_Table_S6.2_Included_Studies_Register.csv** — the complete bibliographic register of all 197 included studies (internal study identifier, authors, year, title, journal/source, DOI), sorted by first-author surname and year. - **Supplementary_Table_S6.3_Study_Characteristics.csv** — the complete per-study extraction table for all 197 included studies (country/region, food context, target population, AI technology modality, P3D function(s), interface type, study design, sample size, psychological mechanisms, primary outcomes, outcome measurement level, direction of effect, Field-Validation Maturity Level, reported risks/adverse effects, reporting completeness score, and evidence maturity class). This dataset does not reproduce verbatim abstract or full-text content from the source bibliographic databases; it contains only the authors' own extracted, coded, and derived characteristics for each included study. ## Keywords artificial intelligence; food choice; consumer behaviour; systematic review; evidence map; recommender systems; personalization; persuasion; choice architecture; digital nudging; PRISMA 2020 ## License CC BY 4.0 (recommended — matches the PRISMA 2020 statement's own licensing and allows unrestricted reuse with attribution) ## Version 1.0 ## Language English