{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T06:30:15Z","timestamp":1793428215020,"version":"4.5.0"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T00:00:00Z","timestamp":1789084800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100023996","name":"Singapore Food Agency","doi-asserted-by":"publisher","award":["NRF-SFSRND2FF2-0003"],"award-info":[{"award-number":["NRF-SFSRND2FF2-0003"]}],"id":[{"id":"10.13039\/501100023996","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Appetite"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.appet.2026.108784","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T23:22:28Z","timestamp":1788823348000},"page":"108784","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Artificial intelligence as a decision partner in food choice: Typology and research agenda"],"prefix":"10.1016","volume":"228","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5064-7812","authenticated-orcid":false,"given":"Isaac","family":"Cheah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ethan","family":"Pancer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianping","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aimee","family":"Pink","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B\u00e9atrice","family":"Parguel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fong T.","family":"Keng-Highberger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1\u20132","key":"10.1016\/j.appet.2026.108784_bib1","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1007\/s40547-017-0085-8","article-title":"Consumer choice and autonomy in the age of artificial intelligence and big data","volume":"5","author":"Andr\u00e9","year":"2018","journal-title":"Customer Needs and Solutions"},{"key":"10.1016\/j.appet.2026.108784_bib2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.cognition.2018.08.003","article-title":"People are averse to machines making moral decisions","volume":"181","author":"Bigman","year":"2018","journal-title":"Cognition"},{"issue":"6","key":"10.1016\/j.appet.2026.108784_bib3","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1086\/656570","article-title":"The locus of choice: Personal causality and satisfaction with hedonic and utilitarian decisions","volume":"37","author":"Botti","year":"2011","journal-title":"Journal of Consumer Research"},{"key":"10.1016\/j.appet.2026.108784_bib4","doi-asserted-by":"crossref","DOI":"10.1016\/j.appet.2024.107241","article-title":"Associations between everyday exposure to food marketing and hunger and food craving in adults: An ecological momentary assessment study","volume":"196","author":"Boyland","year":"2024","journal-title":"Appetite"},{"issue":"5","key":"10.1016\/j.appet.2026.108784_bib5","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.1017\/S1368980022000490","article-title":"Use of artificial intelligence to enable dark nudges by transnational food and beverage companies: Analysis of company documents","volume":"25","author":"Brooks","year":"2022","journal-title":"Public Health Nutrition"},{"issue":"3","key":"10.1016\/j.appet.2026.108784_bib6","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1287\/mksc.2018.1128","article-title":"Which healthy eating nudges work best? A meta-analysis of field experiments","volume":"39","author":"Cadario","year":"2020","journal-title":"Marketing Science"},{"key":"10.1016\/j.appet.2026.108784_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.foodqual.2024.105149","article-title":"Assessing the visual appeal of real\/AI-generated food images","volume":"116","author":"Califano","year":"2024","journal-title":"Food Quality and Preference"},{"issue":"5","key":"10.1016\/j.appet.2026.108784_bib8","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1177\/0022243719851788","article-title":"Task-dependent algorithm aversion","volume":"56","author":"Castelo","year":"2019","journal-title":"Journal of Marketing Research"},{"issue":"7","key":"10.1016\/j.appet.2026.108784_bib9","doi-asserted-by":"crossref","first-page":"2586","DOI":"10.1108\/BFJ-02-2025-0143","article-title":"From algorithms to adoption of AI-based online food delivery platforms: The role of technology fit and emotional trust in adoption","volume":"127","author":"Chakraborty","year":"2025","journal-title":"British Food Journal"},{"key":"10.1016\/j.appet.2026.108784_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbusres.2024.114801","article-title":"'Smart' choice? Evaluating AI-based mobile decision bots for in-store decision-making","volume":"183","author":"Chattaraman","year":"2024","journal-title":"Journal of Business Research"},{"issue":"6","key":"10.1016\/j.appet.2026.108784_bib11","doi-asserted-by":"crossref","first-page":"2214","DOI":"10.1108\/BFJ-08-2025-1101","article-title":"Tainted by technology? The effect of AI-generated image labels on consumers' food purchase intentions","volume":"128","author":"Chen","year":"2026","journal-title":"British Food Journal"},{"issue":"5","key":"10.1016\/j.appet.2026.108784_bib12","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1509\/jmr.14.0299","article-title":"Pleasure as a substitute for size: How multisensory imagery can make people happier with smaller food portions","volume":"53","author":"Cornil","year":"2016","journal-title":"Journal of Marketing Research"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib13","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1509\/jmkr.37.1.60.18718","article-title":"Consumer choice between hedonic and utilitarian goods","volume":"37","author":"Dhar","year":"2000","journal-title":"Journal of Marketing Research"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib14","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1037\/xge0000033","article-title":"Algorithm aversion: People erroneously avoid algorithms after seeing them err","volume":"144","author":"Dietvorst","year":"2015","journal-title":"Journal of Experimental Psychology: General"},{"key":"10.1016\/j.appet.2026.108784_bib15","doi-asserted-by":"crossref","DOI":"10.1016\/j.appet.2019.104501","article-title":"Adolescents' engagement with unhealthy food and beverage brands on social media","volume":"146","author":"Fleming-Milici","year":"2020","journal-title":"Appetite"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib16","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1146\/annurev-psych-122414-033645","article-title":"Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions","volume":"67","author":"Forstmann","year":"2016","journal-title":"Annual Review of Psychology"},{"key":"10.1016\/j.appet.2026.108784_bib17","article-title":"Machine psychology","author":"Hagendorff","year":"2023","journal-title":"arXiv"},{"key":"10.1016\/j.appet.2026.108784_bib18","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.60874","article-title":"Alpha oscillations and event-related potentials reflect distinct dynamics of attribute construction and evidence accumulation in dietary decision making","volume":"10","author":"HajiHosseini","year":"2021","journal-title":"eLife"},{"issue":"5927","key":"10.1016\/j.appet.2026.108784_bib19","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1126\/science.1168450","article-title":"Self-control in decision-making involves modulation of the vmPFC valuation system","volume":"324","author":"Hare","year":"2009","journal-title":"Science"},{"issue":"37","key":"10.1016\/j.appet.2026.108784_bib20","doi-asserted-by":"crossref","first-page":"7952","DOI":"10.1523\/JNEUROSCI.3327-17.2018","article-title":"Accounting for taste: A multi-attribute neurocomputational model explains the neural dynamics of choices for self and others","volume":"38","author":"Harris","year":"2018","journal-title":"Journal of Neuroscience"},{"key":"10.1016\/j.appet.2026.108784_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.appet.2021.105424","article-title":"Does exposure to socially endorsed food images on social media influence food intake?","volume":"165","author":"Hawkins","year":"2021","journal-title":"Appetite"},{"key":"10.1016\/j.appet.2026.108784_bib22","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.appet.2017.03.016","article-title":"Meal box schemes a convenient way to avoid convenience food? Uses and understandings of meal box schemes among Danish consumers","volume":"114","author":"Hertz","year":"2017","journal-title":"Appetite"},{"key":"10.1016\/j.appet.2026.108784_bib23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.appet.2015.11.032","article-title":"Reframing convenience food","volume":"98","author":"Jackson","year":"2016","journal-title":"Appetite"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib24","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.appet.2011.04.025","article-title":"It's who I am and what we eat. Mothers' food-related identities in family food choice","volume":"57","author":"Johnson","year":"2011","journal-title":"Appetite"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib25","article-title":"Neurocomputational mechanisms of food and physical activity decision-making in male adolescents","volume":"13","author":"Lim","year":"2023","journal-title":"Scientific Reports"},{"key":"10.1016\/j.appet.2026.108784_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.appet.2025.108420","article-title":"Gender differences in multi-attribute dietary decision making under time pressure: A hierarchical drift-diffusion approach","volume":"219","author":"Liu","year":"2026","journal-title":"Appetite"},{"key":"10.1016\/j.appet.2026.108784_bib27","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.obhdp.2018.12.005","article-title":"Algorithm appreciation: People prefer algorithmic to human judgment","volume":"151","author":"Logg","year":"2019","journal-title":"Organizational Behavior and Human Decision Processes"},{"issue":"4","key":"10.1016\/j.appet.2026.108784_bib28","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1093\/jcr\/ucz013","article-title":"Resistance to medical artificial intelligence","volume":"46","author":"Longoni","year":"2019","journal-title":"Journal of Consumer Research"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib29","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1177\/0022242920957347","article-title":"Artificial intelligence in utilitarian vs. hedonic contexts: The 'word-of-machine' effect","volume":"86","author":"Longoni","year":"2022","journal-title":"Journal of Marketing"},{"key":"10.1016\/j.appet.2026.108784_bib30","doi-asserted-by":"crossref","DOI":"10.1016\/j.appet.2026.108512","article-title":"Health or taste? Investigating food decision-making patterns in humans and large language models","volume":"222","author":"Lyu","year":"2026","journal-title":"Appetite"},{"key":"10.1016\/j.appet.2026.108784_bib31","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijgfs.2025.101406","article-title":"Does AI prefer healthy foods? Examining value bias in large language models","volume":"43","author":"Lyu","year":"2026","journal-title":"International Journal of Gastronomy and Food Science"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib32","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1111\/0022-4537.00153","article-title":"Machines and mindlessness: Social responses to computers","volume":"56","author":"Nass","year":"2000","journal-title":"Journal of Social Issues"},{"key":"10.1016\/j.appet.2026.108784_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.nut.2023.112076","article-title":"The credibility of dietary advice formulated by ChatGPT: Robo-diets for people with food allergies","volume":"112","author":"Niszczota","year":"2023","journal-title":"Nutrition"},{"issue":"2","key":"10.1016\/j.appet.2026.108784_bib34","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1002\/jcpy.1246","article-title":"Content hungry: How the nutrition of food media influences social media engagement","volume":"32","author":"Pancer","year":"2022","journal-title":"Journal of Consumer Psychology"},{"issue":"3","key":"10.1016\/j.appet.2026.108784_bib35","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1177\/0018720810376055","article-title":"Complacency and bias in human use of automation: An attentional integration","volume":"52","author":"Parasuraman","year":"2010","journal-title":"Human Factors"},{"issue":"3","key":"10.1016\/j.appet.2026.108784_bib36","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1109\/3468.844354","article-title":"A model for types and levels of human interaction with automation","volume":"30","author":"Parasuraman","year":"2000","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans"},{"issue":"4","key":"10.1016\/j.appet.2026.108784_bib37","doi-asserted-by":"crossref","first-page":"469","DOI":"10.3390\/nu16040469","article-title":"Is ChatGPT an effective tool for providing dietary advice?","volume":"16","author":"Ponzo","year":"2024","journal-title":"Nutrients"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib38","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1177\/0022242920953847","article-title":"Consumers and artificial intelligence: An experiential perspective","volume":"85","author":"Puntoni","year":"2021","journal-title":"Journal of Marketing"},{"issue":"9","key":"10.1016\/j.appet.2026.108784_bib39","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.tics.2016.07.002","article-title":"Cognitive offloading","volume":"20","author":"Risko","year":"2016","journal-title":"Trends in Cognitive Sciences"},{"key":"10.1016\/j.appet.2026.108784_bib40","first-page":"141","article-title":"Third party conflict intervention: A procedural framework","volume":"6","author":"Sheppard","year":"1984","journal-title":"Research in Organizational Behavior"},{"key":"10.1016\/j.appet.2026.108784_bib41","article-title":"Exploring value biases: How LLMs deviate towards the ideal","author":"Sivaprasad","year":"2024","journal-title":"arXiv"},{"issue":"6043","key":"10.1016\/j.appet.2026.108784_bib42","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1126\/science.1207745","article-title":"Google effects on memory: Cognitive consequences of having information at our fingertips","volume":"333","author":"Sparrow","year":"2011","journal-title":"Science"},{"issue":"3","key":"10.1016\/j.appet.2026.108784_bib43","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1006\/appe.1995.0061","article-title":"Development of a measure of the motives underlying the selection of food: The Food Choice Questionnaire","volume":"25","author":"Steptoe","year":"1995","journal-title":"Appetite"},{"issue":"12","key":"10.1016\/j.appet.2026.108784_bib44","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1038\/s41562-021-01154-0","article-title":"Healthful choices depend on the latency and rate of information accumulation","volume":"5","author":"Sullivan","year":"2021","journal-title":"Nature Human Behaviour"},{"key":"10.1016\/j.appet.2026.108784_bib45","series-title":"Procedural justice: A psychological analysis","author":"Thibaut","year":"1975"},{"issue":"13","key":"10.1016\/j.appet.2026.108784_bib46","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1108\/BFJ-09-2020-0845","article-title":"Food literacy and food choice: A survey-based psychometric profiling of consumer behaviour","volume":"123","author":"Trieste","year":"2021","journal-title":"British Food Journal"},{"issue":"3","key":"10.1016\/j.appet.2026.108784_bib47","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.appet.2011.07.010","article-title":"The importance of habits in eating behaviour: An overview and recommendations for future research","volume":"57","author":"van \u2019t Riet","year":"2011","journal-title":"Appetite"},{"key":"10.1016\/j.appet.2026.108784_bib48","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.appet.2014.01.010","article-title":"Defining food literacy and its components","volume":"76","author":"Vidgen","year":"2014","journal-title":"Appetite"},{"issue":"43","key":"10.1016\/j.appet.2026.108784_bib49","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2105061118","article-title":"People mistake the internet's knowledge for their own","volume":"118","author":"Ward","year":"2021","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"1","key":"10.1016\/j.appet.2026.108784_bib50","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1080\/1369118X.2016.1186713","article-title":"'Hypernudge': Big data as a mode of regulation by design","volume":"20","author":"Yeung","year":"2017","journal-title":"Information, Communication & Society"}],"container-title":["Appetite"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0195666326003466?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0195666326003466?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T05:31:05Z","timestamp":1793424665000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0195666326003466"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":50,"alternative-id":["S0195666326003466"],"URL":"https:\/\/doi.org\/10.1016\/j.appet.2026.108784","relation":{},"ISSN":["0195-6663"],"issn-type":[{"value":"0195-6663","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence as a decision partner in food choice: Typology and research agenda","name":"articletitle","label":"Article Title"},{"value":"Appetite","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.appet.2026.108784","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"108784"}}