Hacia la Evolución de la GUI Desktop: IA Centrada en el Humano como Paradigma para Repensar la Interacción con Sistemas Operativos
Resumo
La innovación en las interfaces de sistemas operativos de escritorio ha experimentado un estancamiento en las últimas dos décadas. A pesar del crecimiento exponencial en capacidad computacional, herramientas como exploradores de archivos, terminales y gestores de configuración apenas han evolucionado desde los años noventa. Esta meseta afecta especialmente a GNU/Linux, cuyo potencial permanece inaccesible para usuarios no expertos debido a modelos de interacción de línea de comandos de los años setenta. Este artículo analiza el estancamiento de la interacción con el escritorio a través del marco de la Inteligencia Artificial Centrada en el Humano (HCAI) y presenta BOTAS, un asistente de voz que permite a usuarios hispanohablantes interactuar con GNU/Linux mediante lenguaje natural. La evaluación sobre 200 tareas muestra un 89% de precisión en la generación de comandos y un 100% de detección de operaciones destructivas.Referências
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Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., et al. (2020). Language models are few-shot learners. In Advances in Neural Information Processing Systems, volume 33.
Grudin, J. (2017). From tool to partner: The evolution of human-computer interaction. Synthesis Lectures on Human-Centered Informatics, 10(1):1–183.
Jenson, S. (2024). The future of desktop UX: Breaking the cycle of stagnation. Invited talk, Akademy Conference. Available at [link].
Lin, X. V., Wang, C., Zettlemoyer, L., and Ernst, M. D. (2018). NL2Bash: A corpus and semantic parser for natural language interface to the Linux operating system. In Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018).
Luger, E. and Sellen, A. (2016). “like having a really bad PA”: The gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pages 5286–5297.
Norman, D. A. (1988). The Design of Everyday Things. Basic Books.
OpenAI (2023). GPT-4 technical report. arXiv preprint arXiv:2303.08774.
Radford, A., Kim, J. W., Xu, T., Brockman, G., McLeavey, C., and Sutskever, I. (2022). Robust speech recognition via large-scale weak supervision. arXiv preprint arXiv:2212.04356.
Raymond, E. S. (2003). The Art of UNIX Programming. Addison-Wesley.
Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human-Computer Interaction, 36(6):495–504.
Shneiderman, B. (2022). Human-Centered AI. Oxford University Press.
Top500.org (2023). Operating system family / Linux. [link].
W3Techs (2023). Usage statistics of Linux for websites. [link].
Warschauer, M. (2004). Technology and Social Inclusion: Rethinking the Digital Divide. MIT Press.
Publicado
06/05/2026
Como Citar
TOLEDO, José Ramón Aragón; RODRÍGUEZ, Ricardo Ruiz.
Hacia la Evolución de la GUI Desktop: IA Centrada en el Humano como Paradigma para Repensar la Interacción con Sistemas Operativos. In: CONFERÊNCIA LATINO-AMERICANA DE INTERAÇÃO HUMANO-COMPUTADOR (CLIHC), 12. , 2026, Aracaju/SE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 181-185.
DOI: https://doi.org/10.5753/clihc.2026.21652.
