NEUROENGINEERING: RESEARCH REGARDING ARTIFICIAL INTELLIGENCE IN A SHARED HUMAN-MACHINE WORKSTATION

Authors

  • Karina Daniela Garcia Benevides Universidade de Taubaté
  • Patricia Pereira Benevides Universidade de Taubaté
  • Marcello Pereira Benevides Universidade de Taubaté
  • Arcione Ferreira Viagi Universidade de Taubaté
  • Roque Antônio de Moura Faculdade de Tecnologia de São Paulo image/svg+xml https://orcid.org/0000-0002-3036-7116

DOI:

https://doi.org/10.69609/1516-2893.2025.v31.n2.a4017

Keywords:

Shared workstation, Human mental load, Artificial Intelligence, Cognitive limit

Abstract

Neuroengineering is a bridge that connects the human brain to technology, enabling interaction with intelligent machines working side by side. In this sense, this review seeks to help companies improve the organization and management of their employees, focusing on the physical and mental health of the workforce and thus eliminate or minimize serious risks that affect mental health, as artificial intelligence (AI) is intrinsically transforming jobs, from the automation of tasks to the creation of new professions. The methodology used included bibliographic research and publications related to the topic. Trained facial recognition algorithms help interpret human mood and feelings of physical or mental overload. As a result, the automation of repetitive and routine activities frees workers to focus on more complex tasks, which often stress workers by exceeding cognitive limits. This can be mitigated with new professional profiles and in-house training. It is concluded that mitigating risks that affect human health requires training to reskill and improve workforce skills, focusing on competencies that complement the shared work environment with AI.

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Author Biographies

Karina Daniela Garcia Benevides , Universidade de Taubaté

Mestranda em Engenharia Mecânica na Univeridade de Taubaté/SP.

Patricia Pereira Benevides, Universidade de Taubaté

Profissional que cuida da saúde mental da força laboral e autora.

Marcello Pereira Benevides , Universidade de Taubaté

Mestrando em Engenharia Mecânica da Universidade de Taubaté/SP.

Arcione Ferreira Viagi, Universidade de Taubaté

Docente no curso de Mestrado em Engenharia Mecânica da Universidade de Taubaté/SP.

Roque Antônio de Moura, Faculdade de Tecnologia de São Paulo

Fatec São José dos Campos/SP

References

AMRANI, M., RACHID, C., AZZEDINE, B., & VERZEA, I. (2020). Well-being at work: a lever for sustainable performance in the workplace. https://doi.org/10.37190/MSC202707

ANTÔNIO, M. R., REGINA, O. M., GOUSSAIN, B. G. C. S., SILVA, M. B. (2024). Neuroergonomics approach in the workplace aiming to standardize movements and increase workers’ sense of well-being. 24(10), 472–482. https://doi.org/10.53660/CLM-3313-24H27

BENEVIDES, M. P.; XAVIER, K. R. S. L.; et al. (2024) Sign talk assistive technology: real-time recognition of the libras typical alphabet using artificial intelligence. RGSA, v. 18, n. 12, p. e010610, 2024. DOI: https://doi.org/10.24857/rgsa.v18n12-214

BUBONYA, M., COBB-CLARK, D. A., COBB-CLARK, D. A., WOODEN, M., & WOODEN, M. (2016). Mental Health and Productivity at Work: Does You Do Matter? Social Science Research Network. https://doi.org/10.2139/SSRN.2766100

CHEN, M., & DECARY, M. (2020). Artificial intelligence in healthcare: An essential guide for health leaders. Healthcare Management Fórum. https://doi.org/10.1177/0840470419873123

COSTA, J. C. L., SANTOS, D. F. A., OLIVEIRA, M. R. DE, & MOURA, R. A. DE. (2025). Aprendizagem com solução de problemas reais para aprimoramento discente na injunção socioprofissional. CLCS, 18(2), e15288. https://doi.org/10.55905/revconv.18n.2-100

CUNHA, I. O. J.; JUNIOR, I. A. C.; MOURA, G. G.; MOURA, R. A.; SILVA, M. B. Segurança e ergonomia para força laboral feminina na interação com máquinas colaborativas. Sodebras. V16; 187. 2021. DOI: https://doi.org/10.29367/issn.1809-3957.16.2021.187.08

FITZPATRICK, F., DOHERTY, A., & LACEY, G. (2020). Using Artificial Intelligence in Infection Prevention. Current Treatment Options in Infectious Diseases. https://doi.org/10.1007/S40506-020-00216-7

GOETZ, C., BAVARESCO, R. S., KUNST, R., & BARBOSA, J. L. V. (2022). Industrial intelligence in the care of workers’ mental health: A review of status and challenges. International Journal of Industrial Ergonomics. https://doi.org/10.1016/J.ERGON.2021.103234

GRAWITCH, M. J., WALDROP, J. S., ERB, K. R., WERTH, P. M., & GUARINO, S. N. (2017). Productivity loss due to mental- and physical-health decrements: Distinctions in research and practice. Cons. Psychology Journal: Practice and Research. https://doi.org/10.1037/CPB0000089

LAWRY, T. (2020). AI in Health : A Leader’s Guide to Winning in the New Age of Intelligent Health Systems. https://doi.org/10.4324/9780429321214

LEBEDEV, M. A., & NICOLELIS, M. A. L. (2017). Brain-machine interfaces: From basic science to neuroprostheses and neurorehabilitation. Physiological Reviews, 97(2), 767-837.

MORTENSEN, R. (2014). Anxiety, Work, and Coping. The Psychologist-Manager Journal. https://doi.org/10.1037/MGR0000020

MOURA, R. A. DE, SANTOS, D. F. A., GOUSSAIN, B. G. S., et al. (2024a). Design of Experiments (DoE) for non-specialists in statistics in the food industry: trials with popcorn. RGSA, 18(10). https://doi.org/10.24857/rgsa.v18n10-229

MOURA, RA DE, BENEVIDES, KDG, BENEVIDES, MP, RICHETTO, MRS, SOUSA, VJ DE, OLIVEIRA, MR, & SILVA, MB (2024b). Princípios de Manutenção de Aeronaves e Neuroergonomia: uma Combinação Tecnológica de Sucesso. Revista De Gestão - RGSA , 18 (11), e09560. https://doi.org/10.24857/rgsa.v18n11-137

MOURA, R.; RICHETTO, M.; LUCHE, D.; TOZI, L.; SILVA, M. (2022). Novas Competências e Habilidades Profissionais Rumo à Indústria 4.0. Anais da 14ª Conferência Internacional sobre Educação Apoiada por Computador - Vol. 2: CSEDU, ISBN 978-989-758-562-3, pp. 622-630. ISSN 2184-5026. DOI: http://dx.doi.org/10.5220/0011047300003182

MOURA, RA DE, VILLARTA, CJB, BENEVIDES, MP, RICHETTO, MRSR, ROSA JUNIOR, O., & SANTOS, DFA (2024c). Antropometria, Neuroergonomia e Tecnologias Imersivas para o Futuro do Local de Trabalho: Mais Seguro, Autossustentável e Digital. Revista De Gestão - RGSA , 18 (12), e09859. https://doi.org/10.24857/rgsa.v18n12-032

NICOLELIS, M. A. L. (2011). Beyond Boundaries: The New Neuroscience of Connecting Brains with Machines--and How It Will Change Our Lives. Henry Holt and Company.

OLIVEIRA, A. A. DA S. M. DE, VALENTE, D., BENEVIDES, K. D. G., BENEVIDES, M. P., & MOURA, R. A. DE. (2025). Aeronaves comerciais: uso do aprendizado de máquina para otimizar e simular a engenharia de reparos interiores. CONTRIBUCIONES A LAS CIENCIAS SOCIALES, 18(6), e18552. https://doi.org/10.55905/revconv.18n.6-078

REIS, L., MAIER, C., MATTKE, J., CREUTZ ENBERG, M., & WEITZEL, T. (2020). Addressing User Resistance Would Have Prevented a Healthcare AI Project Failure. Mis Quarterly Executive. https://doi.org/10.17705/2MSQE.00038

SANTOS, D. F. A. DOS, BENEVIDES, K. D. G., BENEVIDES, M. P., OLIVEIRA, M. R. DE, RICHETTO, M. R. S., GOUSSAIN, B. G. C. S., & MOURA, R. A. DE. (2025). Sistema fly by wire: maior segurança e eficiência no controle de decolagem, voo e pouso assistidos. CLCS, 18(7), e19082. https://doi.org/10.55905/revconv.18n.7-011

SILVA, E. A.; CAMARGO, A. A.; SILVA, M. B.; MOURA, R. A. (2024). Neuroergonomía y Tecnologías inmersivas para lograr un envejecimiento saludable sin dolor ... Revista Exatas. V.30. UNITAU. DOI: https://doi.org/10.69609/1516-2893.2024.v30.n2.a3916

SILVA, JC DA, TOMÉ, LL, SANTOS, DFA, COSTA, JCL, OLIVEIRA, MR DE, & MOURA, RA DE. (2025a). Indústria metalmecânica conectada à internet das coisas para eficiência na gestão robôs colaborativos. RGSA , 19 (6), e012413. https://doi.org/10.24857/rgsa.v19n6-018

SOUSA, VJ DE, RICHETTO, MRS, MOURA, RA DE, OLIVEIRA, MR DE, & SILVA, MB (2024). Análise das Práticas de Gestão em uma Organização Não Governamental. Revista De Gestão - RGSA , 18 (11), e09646. https://doi.org/10.24857/rgsa.v18n11-045

WALSH, L. (2011). The impact of mental health problems in the workplace. British Journal of Wellbeing. https://doi.org/10.12968/BJOW.2011.2.7.32

WANG, W., & SIAU, K. (2019). Potential Impact of Artificial Intelligence on Mental Well-Being. Americas Conference on Information Systems.

ZHANG, S. (2023). Mental health and the factors with people in tech workspace. https://doi.org/10.1117/12.2669959

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Published

2025-09-02

How to Cite

Benevides , K. D. G., Benevides, P. P., Benevides , M. P., Viagi, A. F., & Moura, R. A. de. (2025). NEUROENGINEERING: RESEARCH REGARDING ARTIFICIAL INTELLIGENCE IN A SHARED HUMAN-MACHINE WORKSTATION. Journal of Exact Sciences, 31(2). https://doi.org/10.69609/1516-2893.2025.v31.n2.a4017

Issue

Vol. 31 No. 2 (2025)

Section

Articles

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Copyright (c) 2025 Karina Daniela Garcia Benevides , Patricia Pereira Benevides, Marcello Pereira Benevides , Arcione Ferreira Viagi, Roque Antônio de Moura

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