RICON System Applied to Consumer Neuroscience: A Study Developed at the Military College of Rio de Janeiro with Machine Learning Support

Authors

  • RENAN FIGUEIRA GRION Colégio Militar do Rio de Janeiro
  • Alexandre dos Santos Boente Colégio Militar do Rio de Janeiro
  • Ana Lúcia de Oliveira Barreto Colégio Militar do Rio de Janeiro
  • Camila Sabbatino Dantas da Silva Colégio Militar do Rio de Janeiro
  • Maria Fernanda Chavarri do Coutto Colégio Militar do Rio de Janeiro

DOI:

https://doi.org/10.5281/zenodo.18769862

Keywords:

conscious consumption, digital education, behavioral neuroscience, machine learning

Abstract

The growth of digital media and marketing strategies has intensified impulsive consumption, especially among young people, by stimulating the brain’s reward system and reducing critical reflection. This study presents RICON – Conscious Informational Reeducation, aimed at promoting sustainable consumption through educational practices based on neuroscience and technology. The research was conducted by students from the Colégio Militar do Rio de Janeiro, involving 25 participants aged 15 to 20 who took part in a 10-day experiment in an interactive digital environment. The collected data were analyzed statistically and through machine learning techniques, which enabled the identification of five consumer profiles. Among participants, 68% showed positive progress, with an average absolute gain of ≈ 0.60 and a normalized gain of ≈ 0.35. An educational website was also developed to provide access to the materials and activities used during the intervention. It is concluded that the integration of technology, neuroscience, and education enhances awareness of consumption habits and contributes to strengthening digital citizenship and sustainability.

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Author Biographies

Alexandre dos Santos Boente, Colégio Militar do Rio de Janeiro

Maj QCO R/1 Matemática (EsFCEx/2002, EsAO/2012), graduado em Matemática/2001 pela Universidade do Estado do Rio de Janeiro - UERJ e mestre em Engenharia de Defesa/2024 pelo IME.

Ana Lúcia de Oliveira Barreto, Colégio Militar do Rio de Janeiro

Profª MS, graduada em Matemática/1988 pela Universidade Santa Úrsula, Pós graduação em Análise de Sistemas/1990 pela PUC-Rio e Pós graduação em Computação Gráfica e Multimídia - UERJ (1999), mestre em Ensino das Ciências na Educação Básica/2010 pela UNIGRANRIO e Mestre em Engenharia de Defesa/2024 pelo IME. Atualmente chefe da SAMTec/CMRJ.

Camila Sabbatino Dantas da Silva, Colégio Militar do Rio de Janeiro

Aluna do 3º ano do ensino médio do Colégio Militar do Rio de Janeiro.

Maria Fernanda Chavarri do Coutto, Colégio Militar do Rio de Janeiro

Aluna do 3º ano do ensino médio do Colégio Militar do Rio de Janeiro

Published

2026-02-25

How to Cite

FIGUEIRA GRION, R., dos Santos Boente, A., de Oliveira Barreto, A. L., Sabbatino Dantas da Silva, C., & Fernanda Chavarri do Coutto, M. (2026). RICON System Applied to Consumer Neuroscience: A Study Developed at the Military College of Rio de Janeiro with Machine Learning Support. Scientific Journal Foundation Osorio, 10(1), 82–96. https://doi.org/10.5281/zenodo.18769862