Framework Generativo Crítico: Cocriação Humano-IA para a Visibilidade de Contextos Neurodivergentes

  • Cristiane Ellwanger Universidade Federal do Rio Grande do Sul (UFRGS)
  • Henrique Ellwanger Grupo Hospitalar Conceição (GHC) – Hospital da Criança
  • Vanessa S. Paixão-Cortes Escola Politécnica – Atitus Educação
  • Régio P. Silva Universidade Federal do Rio Grande do Sul (UFRGS)

Resumo


Modelos generativos vêm ampliando as possibilidades de colaboração ao favorecer a escrita conjunta, a ideação distribuída e a mediação comunicacional. Nesse contexto, o artigo apresenta um framework metodológico constituído pela transposição de conceitos de Design e pelo uso de modelos generativos em contextos inclusivos, com o intuito de conscientizar equipes de projeto sobre as particularidades e a complexidade inerentes a esses contextos. Como resultados, apresentam-se a aplicação do framework metodológico e os artefatos gerados no contexto do TDAH, demonstrando que produções colaborativas Humano–IA funcionam como catalisadores de empatia, de discussões sobre acessibilidade cognitiva e de reflexão crítica sobre normas implícitas em ambientes colaborativos.
Palavras-chave: IA Generativa, Design Inclusivo, Neurodivergencia, TDAH

Referências

Amorim, W. G., Bellini-Leite, S. C., Dias, M. R. A. C. (2025) Inteligência Artificial Generativa na ideação de projetos de moda: experimentação e curadoria no ensino em design, Estudos em Design, v. 33, n. 2, p. 155-168.

Bender, E. M., Gebru, T., McMillan-Major, A. and Shmitchell, S. (2021) On the dangers of stochastic parrots: can language models be too big? In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21), ACM, New York.

Brown, T. (2020) Design Thinking: uma metodologia poderosa para decretar o fim das velhas ideias, Alta Books, Rio de Janeiro.

Channi, H. K., Kaur, A. and Kaur, S. (2025) AI-driven generative design redefines the engineering process, In Generative Artificial Intelligence in Finance, Wiley, p. 327-359.

Chowdhury, S. A. et al. (2024) Navigating inclusion: understanding social perception, educational opportunity, and challenges for neurodiverse students in Bangladeshi formal education, Frontiers in Education, Frontiers Media SA, p. 1452296.

Cibrian, F. J. et al. (2022) ADHD and technology research investigated by neurodivergent readers, In: Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI 2022), ACM, New York.

Connolly, T., Vukovic, B., Brown, H., Rahimi, S., Macarios, J., Walker, M. (2024). A Neuro-divergent Lens: Recommended Practices for Neuroinclusivity. Final Research Report.

Creswell, J. W. and Poth, C. N. (2018) Qualitative Inquiry and Research Design: Choosing Among Five Approaches, 4th edition, Sage, Thousand Oaks.

Dark, J. (2025) Inclusion by design: a neuro-cognitive trait interaction approach to neurodivergent research, Methodological Innovations, v. 18, n. 4, p. 253-263.

Dunne, A. and Raby, F. (2013) Speculative Everything: Design, Fiction, and Social Dreaming, MIT Press, Cambridge.

Espinoza, W. G. C. et al. (2025) Innovación, IA y diseño centrado en el ser humano: el rol del diseño industrial en la quinta revolución industrial, Alpha International Journal, v. 3, n. 1, p. 108–127.

Flick, U. (2009) Introdução à Pesquisa Qualitativa, 3. ed., Artmed, Porto Alegre.

Garud, R., Kumaraswamy, A. and Tuertscher, P. (2024) Collaborating using digital technolo-gies: the role of generative memory, In Organizing in the Digital Age: A Process View, Oxford Academic, Oxford.

Guauman-Quintanilla, S., Everaert, P., Chiluiza, K. and Valcke, M. (2022) Fostering teamwork through design thinking: evidence from a multi-actor perspective, Education Sciences, v. 12, n. 4, p. 279.

Hinton, C. A. and Hinton, S. F. (2025) Neurodiversity in education and the workplace: under-standing and celebrating differences, In Diversity and Inclusion in Global Business and Ed-ucation, IGI Global Scientific Publishing, p. 471-492.

Inie, N., Falk, J. and Tanimoto, S. (2023) “Designing participatory AI: creative professionals' worries and expectations about generative AI”, In: Proceedings of the ACM Collective Intelligence Conference, [link], Novembro 2025.

Kalantari, N., Bagale, A. and Motti, V. G. (2025) Designing assistive technologies for and with neurodivergent users: considerations from research practice, Interacting with Computers, p. iwaf037.

Lee, K. (2025) Towards a working definition of designing generative user interfaces, In Com-panion Publication of the 2025 ACM Designing Interactive Systems Conference, ACM, New York, p. 489-495.

Lierman, A. (2024) The Struggle You Can't See: Experiences of Neurodivergent and Invisibly Disabled Students in Higher Education, Open Book Publishers.

Lyon, A. R., Aung, T., Bruzios, K. E. and Munson, S. A. (2024) Human-centered design to enhance implementation and impact in health, In Annual Review of Public Health, v. 45, p. 367–384.

Muehlhaus, M. and Steimle, J. (2024) “Interaction design with generative AI: an empirical study of emerging strategies across the four phases of design”, arXiv preprint, [link], Novembro 2025.

Ritu, W. et al. (2024) Innovative product design based on radical problem solving, Computers & Industrial Engineering, v. 187, p. 109941.

Sanders, C. K. and Scanlon, E. (2021) The digital divide is a human rights issue: advancing social inclusion through social work advocacy, Journal of Human Rights and Social Work, v. 6, n. 2, p. 130-143.

Sharma, C., Verma, G. and Chanana, N. (2025) Harnessing generative AI for engineering and product design, In Generative Artificial Intelligence in Finance, Wiley, p. 443-465.

Shaw, P. et al. (2021) The impact of ADHD on academic performance in higher education, Journal of Attention Disorders, v. 25, n. 3, p. 418-427.

Shneiderman, B. (2020) Design Thinking Companion: A New Guide for Innovation, Springer, Cham.

Sleem, A. W. (2025) Speculative design as a key practice of life center design, International Design Journal, v. 15, n. 1, p. 33-45.

Sniderman, P. et al. (2024) “Building a Neuroinclusive Workplace, Deloitte Center for Integrated Research”, [link], Julho 2025.

Song, Y. et al. (2024) A framework for inclusive AI learning design for diverse learners, Com-puters and Education: Artificial Intelligence, v. 6, p. 100212.

Spurr, S. and Carrasco, S. (2024) Architecture for complexity: speculative design as enabler of engagement in co-designing post-mining futures in the Hunter Valley, Sustainability, v. 16, n. 16, p. 6842.

Tuzzo, S. A., Santos, I. G. and Braga, C. F. (2024) “O caráter dialógico da pesquisa qualitativa”, In New Trends in Qualitative Research, v. 19, [link], Julho 2025.

Vartiainen, H., Liukkonen, P. and Tedre, M. (2025) Emerging human-technology relationships in a co-design process with generative AI, Thinking Skills and Creativity, v. 56, p. 101742.

Veluru, C. S. (2024) The impact of generative AI on content curation and content advance-ments in education and training, European Journal of Advances in Engineering and Tech-nology, v. 11, n. 4, p. 121–130.

Zhang, S. et al. (2024) “Mutual theory of mind in human-AI collaboration: an empirical study with LLM-driven AI agents in a real-time shared workspace task”, arXiv preprint, [link], Dezembro 2025.
Publicado
08/06/2026
ELLWANGER, Cristiane; ELLWANGER, Henrique; PAIXÃO-CORTES, Vanessa S.; SILVA, Régio P.. Framework Generativo Crítico: Cocriação Humano-IA para a Visibilidade de Contextos Neurodivergentes. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 21. , 2026, Porto Alegre/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2026 . p. 107-118. ISSN 2326-2842. DOI: https://doi.org/10.5753/sbsc.2026.20245.