Helena MA Bolini¹, Pedro Pio C Augusto¹, Howard R Moskowitz^2,3*, Stephen D Rappaport⁴ and Sharon Wingert²

¹1University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
²Tactical Data Group, Stafford, Virginia, USA
³Mind Genomics Associates, Inc., White Plains, New York, USA
⁴Stephen D Rappaport Consulting LLC, Norwalk, Connecticut, USA

*Corresponding Author: Howard R Moskowitz, Tactical Data Group, Stafford, Virginia, USA and Mind Genomics Associates, Inc., White Plains, New York, USA.

Received: January 07, 2025; Published: January 24, 2025

Abstract

The topic of the paper is critical thinking regarding the research tool of “Time-Intensity Measurement,” popular in the world of sensory research in the food industry. The paper presents a new paradigm using generative AI (ChatGPT 3.5) and Mind Genomics thinking to create a three-step system to drive critical thinking and problem solving in a subject area. The approach begins with step 1, a simulated “Town Hall Meeting” to reveal questions about the topic, the importance of these questions, and what might the asker of a question be thinking. The second phase, step 2, instructs AI to uncover mind-sets in the topic area, and then use AI to generate questions, simulate the answers from the mind-sets, and then create the next question. Finally, step 3 comprises a book of questions and comments about the questions, designed to stimulate thinking about the topic questions to think about the nature and importance of the topic. The approach is set up to be generalizable to any topic of human decision-making where generative AI can play a role in simulation and synthesis.

Keywords: Critical Thinking; Generative AI; Mind Genomics; Sensory Research; Time-Intensity Measurement

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Citation

Citation: Howard R Moskowitz.,et al. “Thinking More Deeply About Research Tools: The Contribution of Generative AI and Mind Genomics to Advance the Evolution of Critical Thinking about Time-Intensity Studies in Food". Acta Scientific Nutritional Health 9.2 (2025): 37-54.

Copyright

Copyright: © 2025 Howard R Moskowitz.,et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.