Acessibilidade em Ambientes Virtuais para Estudantes do Espectro Autista: Mapeamento de Critérios de Acessibilidade
Resumo
Estudantes com Transtorno do Espectro Autista (TEA) ao utilizarem Ambientes Virtuais de Aprendizagem (AVAs) necessitam de ambientes adaptáveis às suas características singulares. Nesta perspectiva, recomendações de acessibilidade para esses estudantes devem estar disponíveis para que analistas e desenvolvedores as utilizem como suporte no desenvolvimento desses ambientes. Este artigo apresenta uma revisão sistemática realizada sobre recomendações de acessibilidade em ambientes web aplicáveis a AVAs para estudantes com TEA, destacando a escassez, os desafios na implementação das recomendações, e a ausência de ambientes personalizados enfatizando a necessidade de soluções adaptadas para estudantes com TEA.
Palavras-chave:
Estudantes com Transtorno do Espectro Autista (TEA), Ambientes Virtuais de Aprendizagem, Acessibilidade
Referências
Aguiar, Y. P. C., de A. Cardins, D. V., Saraiva, J. d. A. G., Maritan, T., and de Araújo, J. A. a. (2022). Towards accessibility for users with autism: A comparative analysis of guidelines. In Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, IHC ’22, New York, NY, USA. Association for Computing Machinery.
Alzahrani, M., Uitdenbogerd, A. L., and Spichkova, M. (2022). Impact of animated objects on autistic and non-autistic users. In Proceedings - International Conference on Software Engineering, page 102–112.
American Psychiatric Association, A. (2014). Manual diagnóstico e estatístico de transtornos mentais. Artmed Editora, 5 edition.
Ara, J. and Sik-Lanyi, C. (2022). Algorithmic evaluation: Accessibility of assistive technology webpage content. In 2022 IEEE 1st International Conference on Internet of Digital Reality, IoD 2022, page 107–112.
Beda, J., Ferreira, P., Belarmino, G., and Goya, D. (2022). Acessibilidade sob desenho universal para ambientes virtuais de aprendizagem: um mapeamento de critérios e desafios. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação, pages 680–693, Porto Alegre, RS, Brasil. SBC.
Cecil, J., Sweet-Darter, M., and Gupta, A. (2020). Design and assessment of virtual learning environments to support stem learning for autistic students. In Proceedings Frontiers in Education Conference, FIE, volume 2020-October.
Chinchay, Y., Gomez, J., and Montoro, G. (2022). Overcoming barriers to an accessible e-learning ecosystem for people on the autism spectrum: A preliminary design. In ASSETS 2022 - Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility.
Chinchay Manco, Y. M. (2022). Designing an e-learning ecosystem to support people with autism spectrum disorders. a digital transformation in special education. In Proceedings of the 21st Annual ACM Interaction Design and Children Conference, IDC ’22, page 655–657, New York, NY, USA. Association for Computing Machinery.
Contreras-Ortiz, M. S., Marrugo, P. P., and Cesar Rodriguez Ribón, J. (2023). E-learning ecosystems for people with autism spectrum disorder: A systematic review. IEEE Access, 11:49819–49832.
Costa, Y. P., Godde, A., Trémaud, M., Pontual, T., Arciszewski, T., Tardif, C., and Galy,E. M. (2022). A survey on accessibility guidelines for users with autism: A broad understanding of the relevance and completeness. In Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, IHC ’22, New York, NY, USA. Association for Computing Machinery.
Eraslan, S., Yesilada, Y., Yaneva, V., and Ha, L. A. (2021). “keep it simple!”: an eye tracking study for exploring complexity and distinguishability of web pages for people with autism. Universal Access in the Information Society, 20(1):69–84. Cited by: 10; All Open Access, Green Open Access.
Lister, K., Coughlan, T., Iniesto, F., Freear, N., and Devine, P. (2020). Accessible conversational user interfaces: Considerations for design. In Proceedings of the 17th International Web for All Conference, W4A ’20, New York, NY, USA. Association for Computing Machinery.
Manco, Y. C., Escribano, J. G., and Collazos, C. A. (2023). Accessibility limitations of video conference tools for people with cognitive disabilities during covid-19. In Iberian Conference on Information Systems and Technologies, CISTI, volume 2023-June.
Mattos, L., Pimentel, E., Braga, J., and Dotta, S. (2022). Contribuições para o desenvolvimento de agentes pedagógicos conversacionais e sua integração a ambientes virtuais de aprendizagem. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação,pages 1028–1039, Porto Alegre, RS, Brasil. SBC.
Melo, A. H. d. S., Rivero, L., Santos, J. S. d., and Barreto, R. d. S. (2020). Personaut: A personas model for people with autism spectrum disorder. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, IHC ’20, New York, NY, USA. Association for Computing Machinery.
Oliveira, E. (2022). Um olhar para educação a distância em tempos de pandemia: a formação de futuros pedagogos. In Anais do IV Seminário de Educação a Distância da Região Centro-Oeste, Porto Alegre, RS, Brasil. SBC.
Petersen, K., Feldt, R., Mujtaba, S., and Mattsson, M. (2008). Systematic mapping studies in software engineering. In 12th International Conference on Evaluation and Assessment in Software Engineering (EASE) 12, page 1–10.
Pinheiro, V. and Marques, A. B. (2021). Accessibility-oriented design with a focus on autism aspects: Designing a mobile application for autistic children’s daily routine. In Proceedings of the XIX Brazilian Symposium on Software Quality, SBQS ’20, New York, NY, USA. Association for Computing Machinery.
Santiago, M. T. and Marques, A. B. (2022). Are user reviews useful for identifying accessibility issues that autistic users face? an exploratory study. In Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, IHC ’22, New York, NY, USA. Association for Computing Machinery.
Siedler, M., Zen, E., Cardoso, R., and Tavares, T. (2022). Assistive technology as an aid to individuals with autism spectrum disorder: A systematic literature mapping. In Proceedings of the Brazilian Symposium on Multimedia and the Web, WebMedia ’22, page 244–252, New York, NY, USA. Association for Computing Machinery.
Vanzeler, J., Freitas, G., Ferreira, J., Santos, I., Farias, F., and Portela, C. (2022). Interaction paths between users on the autistic spectrum and technologies: Scope review of the brazilian symposium ihc. In ACM International Conference Proceeding Series.
Alzahrani, M., Uitdenbogerd, A. L., and Spichkova, M. (2022). Impact of animated objects on autistic and non-autistic users. In Proceedings - International Conference on Software Engineering, page 102–112.
American Psychiatric Association, A. (2014). Manual diagnóstico e estatístico de transtornos mentais. Artmed Editora, 5 edition.
Ara, J. and Sik-Lanyi, C. (2022). Algorithmic evaluation: Accessibility of assistive technology webpage content. In 2022 IEEE 1st International Conference on Internet of Digital Reality, IoD 2022, page 107–112.
Beda, J., Ferreira, P., Belarmino, G., and Goya, D. (2022). Acessibilidade sob desenho universal para ambientes virtuais de aprendizagem: um mapeamento de critérios e desafios. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação, pages 680–693, Porto Alegre, RS, Brasil. SBC.
Cecil, J., Sweet-Darter, M., and Gupta, A. (2020). Design and assessment of virtual learning environments to support stem learning for autistic students. In Proceedings Frontiers in Education Conference, FIE, volume 2020-October.
Chinchay, Y., Gomez, J., and Montoro, G. (2022). Overcoming barriers to an accessible e-learning ecosystem for people on the autism spectrum: A preliminary design. In ASSETS 2022 - Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility.
Chinchay Manco, Y. M. (2022). Designing an e-learning ecosystem to support people with autism spectrum disorders. a digital transformation in special education. In Proceedings of the 21st Annual ACM Interaction Design and Children Conference, IDC ’22, page 655–657, New York, NY, USA. Association for Computing Machinery.
Contreras-Ortiz, M. S., Marrugo, P. P., and Cesar Rodriguez Ribón, J. (2023). E-learning ecosystems for people with autism spectrum disorder: A systematic review. IEEE Access, 11:49819–49832.
Costa, Y. P., Godde, A., Trémaud, M., Pontual, T., Arciszewski, T., Tardif, C., and Galy,E. M. (2022). A survey on accessibility guidelines for users with autism: A broad understanding of the relevance and completeness. In Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, IHC ’22, New York, NY, USA. Association for Computing Machinery.
Eraslan, S., Yesilada, Y., Yaneva, V., and Ha, L. A. (2021). “keep it simple!”: an eye tracking study for exploring complexity and distinguishability of web pages for people with autism. Universal Access in the Information Society, 20(1):69–84. Cited by: 10; All Open Access, Green Open Access.
Lister, K., Coughlan, T., Iniesto, F., Freear, N., and Devine, P. (2020). Accessible conversational user interfaces: Considerations for design. In Proceedings of the 17th International Web for All Conference, W4A ’20, New York, NY, USA. Association for Computing Machinery.
Manco, Y. C., Escribano, J. G., and Collazos, C. A. (2023). Accessibility limitations of video conference tools for people with cognitive disabilities during covid-19. In Iberian Conference on Information Systems and Technologies, CISTI, volume 2023-June.
Mattos, L., Pimentel, E., Braga, J., and Dotta, S. (2022). Contribuições para o desenvolvimento de agentes pedagógicos conversacionais e sua integração a ambientes virtuais de aprendizagem. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação,pages 1028–1039, Porto Alegre, RS, Brasil. SBC.
Melo, A. H. d. S., Rivero, L., Santos, J. S. d., and Barreto, R. d. S. (2020). Personaut: A personas model for people with autism spectrum disorder. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, IHC ’20, New York, NY, USA. Association for Computing Machinery.
Oliveira, E. (2022). Um olhar para educação a distância em tempos de pandemia: a formação de futuros pedagogos. In Anais do IV Seminário de Educação a Distância da Região Centro-Oeste, Porto Alegre, RS, Brasil. SBC.
Petersen, K., Feldt, R., Mujtaba, S., and Mattsson, M. (2008). Systematic mapping studies in software engineering. In 12th International Conference on Evaluation and Assessment in Software Engineering (EASE) 12, page 1–10.
Pinheiro, V. and Marques, A. B. (2021). Accessibility-oriented design with a focus on autism aspects: Designing a mobile application for autistic children’s daily routine. In Proceedings of the XIX Brazilian Symposium on Software Quality, SBQS ’20, New York, NY, USA. Association for Computing Machinery.
Santiago, M. T. and Marques, A. B. (2022). Are user reviews useful for identifying accessibility issues that autistic users face? an exploratory study. In Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, IHC ’22, New York, NY, USA. Association for Computing Machinery.
Siedler, M., Zen, E., Cardoso, R., and Tavares, T. (2022). Assistive technology as an aid to individuals with autism spectrum disorder: A systematic literature mapping. In Proceedings of the Brazilian Symposium on Multimedia and the Web, WebMedia ’22, page 244–252, New York, NY, USA. Association for Computing Machinery.
Vanzeler, J., Freitas, G., Ferreira, J., Santos, I., Farias, F., and Portela, C. (2022). Interaction paths between users on the autistic spectrum and technologies: Scope review of the brazilian symposium ihc. In ACM International Conference Proceeding Series.
Publicado
04/11/2024
Como Citar
BARBOZA, Delma A. S.; CATABRIGA, Lucia; CURY, Davidson.
Acessibilidade em Ambientes Virtuais para Estudantes do Espectro Autista: Mapeamento de Critérios de Acessibilidade. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 35. , 2024, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 1071-1083.
DOI: https://doi.org/10.5753/sbie.2024.241655.
