Evidence map›Paper›PMID 39942062›Full record

ArticleFoods (Basel, Switzerland)2025

The Potential Use of ChatGPT as a Sensory Evaluator of Chocolate Brownies: A Brief Case Study.

Damir D Torrico

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Damir D TorricoDepartment of Food Science and Human Nutrition, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0003-1482-2438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT, a recently developed natural large language processing tool, has been widely explored in various fields of science and research. This study aimed to evaluate the potential use of ChatGPT as a sensory evaluator of hypothetical formulations of chocolate brownies. ChatGPT was prompted to act as an experienced taster to provide a detailed description of sensory characteristics for fifteen chocolate brownie formulations grouped into three categories (standard, common ingredients replacements, and uncommon ingredients replacements). Sentiment analysis, emotions/descriptors classification, and correspondence analysis were conducted to analyze ChatGPT responses. Results showed that the terms "trust", "anticipation", and "joy" were the most frequently expressed sentiments in the ChatGPT responses. The valence of all ChatGPT responses was mostly positive. The overall quality scores of all chocolate brownie formulations given by ChatGPT were extremely high, in the range of 8.5-9.5 (out of 10). ChatGPT tended to have higher positive emotions to formulations (some including worm meals and fish oil) that might have the opposite reactions with real consumers. Further research should focus on validating ChatGPT sensory descriptors with the outcomes of a human sensory panel. Additionally, future studies can explore the potential use of ChatGPT in evaluating the sensory characteristics of other food products for optimizing the product development process.

Indexed as

ChatGPTchocolate browniesproduct developmentsensory characteristicssentiment analysis

Identifiers

PMID39942062
PMCPMC11816367

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.