Healthy Weight Loss for Children: Using Generative AI to Create Suggestions for an App

¹Tactical Data Group, Stafford, VA, USA

² Mind Genomics Associates, Inc., White Plains, NY, USA

³Government Medical College and Hospital, Patiala, Punjab, India

⁴Stephen D. Rappaport Consulting LLC, Norwalk, CT, USA

*Corresponding author: Howard R Moskowitz, Tactical Data Group, Stafford, VA, USA & Mind Genomics Associates, Inc., White Plains, NY, USA, USA, Phone: 19145721673, E-mail: [email protected]

Received Date: November 18, 2024

Publication Date: December 13, 2024

Citation: Moskowitz HR, et al. (2024). Healthy Weight Loss for Children: Using Generative AI to Create Suggestions for an App. Obese. 2(1):8.

Copyright: Moskowitz HR, et al. © (2024).

ABSTRACT

The paper focuses on the AI-simulation of a five-phase process to design an app for children to lose weight. The objective is to demonstrate how generative AI can become a partner in design. The first phase is a synthesized “story” about how the app was created, doing so before the effort was undertaken to provide a motivating set of messages. The second phase is a synthesized meeting of the design team to generate different aspects of the app as a whole. The third phase, on the other hand, is a synthesized meeting of the design team to discuss particular aspects of the app. The fourth phase is a synthesized town hall meeting where the design team and other stakeholders encourage questions, and where AI reveals the mind of the listeners when they hear the questions and the answers. The fifth and final phase shows three sets of 15 questions which are generated automatically by the Mind Genomics platform (Idea Coach). Taken together, the five phases—each accomplished in minutes—show the power of using generative AI as an infinitely energetic and motivated, potentially wise and insightful “colleague” in the design process.

Keywords: Childhood Obesity, Gamification, Generative AI, Mind Genomics, Weight Loss App