Mind-Sets in Brazil Regarding the Perceptions of Stevia and Sucralose to Replace Sugar in Food: Using Generative AI and Mind Genomics Thinking to Generate Hypotheses and Insights

The paper presents the use of generative AI to explore the mind-sets of consumers in Brazil regarding the increasing use of high potency sweeteners. Through simulation and synthesis by AI, the paper shows how to generate deep knowledge regarding the mind-sets, how to simulate a town-hall question and answer session with these mind-sets, and what happens when these mind-sets go shopping (shop-along).

Publication Details

Journal
Food Science & Nutrition
Published
2024-10-16
DOI
https://doi.org/10.24966/fsn-1076/100193
Primary Topic
Biochemical Analysis and Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Mind-Sets in Brazil Regarding the Perceptions of Stevia and Sucralose to Replace Sugar in Food: Using Generative AI and Mind Genomics Thinking to Generate Hypotheses and Insights

Food Science & Nutrition
Biochemical Analysis and Sensing Techniques
article

Mind-Sets in Brazil Regarding the Perceptions of Stevia and Sucralose to Replace Sugar in Food: Using Generative AI and Mind Genomics Thinking to Generate Hypotheses and Insights

article en

Abstract

The paper presents the use of generative AI to explore the mind-sets of consumers in Brazil regarding the increasing use of high potency sweeteners. Through simulation and synthesis by AI, the paper shows how to generate deep knowledge regarding the mind-sets, how to simulate a town-hall question and answer session with these mind-sets, and what happens when these mind-sets go shopping (shop-along).

Food Science & NutritionVol. 10(4)
Openalex Percentile: Top 78%
Biochemical Analysis and Sensing Techniques
DOIOpen Access PDFOpenAlex
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Mind-Sets in Brazil Regarding the Perceptions of Stevia and Sucralose to Replace Sugar in Food: Using Generative AI and Mind Genomics Thinking to Generate Hypotheses and Insights · Food Science & Nutrition (2024) | TGRS Research Map | TGRS