Comprendiendo la Perspectiva del Autismo en la IPO a través de la Experiencia: Lecciones y Reflexiones Valiosas
DOI:
https://doi.org/10.65234/interaccion.126Palabras clave:
Autismo, Tecnologías de aprendizaje, Sistemas interactivos, Diseño Centrado en las Personas, Estudios empíricos en IPOResumen
La IPO tiene el potencial de mejorar significativamente el aprendizaje digital inclusivo de los niños con condición autista. Sin embargo, cuando sus perfiles cognitivos no se consideran cuidadosamente en el diseño de sistemas interactivos, existe el riesgo de marginar aún más a esta población. A pesar de las innovaciones tecnológicas, las prácticas actuales de la IPO a menudo enfrentan dificultades debido a una aplicabilidad limitada en el mundo real, la escasez de investigación empírica y, lo más crítico, la ausencia de una reflexión profunda sobre los desafíos prácticos de investigar con niños en el espectro, lo que limita las contribuciones del campo. Para abordar esta brecha, hemos desarrollado un proyecto de IPO a gran escala con el objetivo de diseñar un ecosistema de aprendizaje digital que involucre activamente a los niños en el espectro y su entorno en los procesos de diseño y evaluación a través de diversos estudios de caso. Las lecciones valiosas extraídas de este proceso empírico permiten a los investigadores comprender mejor la perspectiva del autismo en la IPO, promoviendo el desarrollo efectivo de sistemas interactivos adaptados a estos usuarios y ampliando el compromiso de la IPO con comunidades diversas.
Referencias
American Psychiatric Association, A., Association, A. P., et al. (2013). Diagnostic and statistical manual of mental disorders: Dsm-5. Washington, DC: American psychiatric association. DOI: https://doi.org/10.1176/appi.books.9780890425596
Boyd, L. E., Gupta, S., Vikmani, S. B., Gutierrez, C. M., Yang, J., Linstead, E., & Hayes, G. R. (2018). Vrsocial: Toward immersive therapeutic vr systems for children with autism. In Proceedings of the 2018 chi conference on human factors in computing systems (pp. 1–12). DOI: https://doi.org/10.1145/3173574.3173778
Cecil, J., Kauffman, S., Cecil-Xavier, A., Gupta, A., McKinney, V., & Sweet-Darter, M. (2021). Exploring human-computer interaction (hci) criteria in the design and assessment of next generation vr based education and training environments. In 2021 ieee conference on virtual reality and 3d user interfaces abstracts and workshops (vrw) (pp. 524–525). DOI: https://doi.org/10.1109/VRW52623.2021.00144
Chinchay, Y., Torrado, J. C., Gomez, J., & Montoro, G. (2023). Towards more supportive ict for children with autism spectrum disorders: lessons learned from covid-19 pandemic. Behaviour & Information Technology, 1–20. DOI: https://doi.org/10.1080/0144929X.2023.2268734
Chistol, M., Turcu, C., & Danubianu, M. (2023). Autism assistant: A platform for autism home-based therapeutic intervention. IEEE Access. DOI: https://doi.org/10.1109/ACCESS.2023.3310397
Dahiya, A. V., DeLucia, E., McDonnell, C. G., & Scarpa, A. (2021). A systematic review of technological approaches for autism spectrum disorder assessment in children: Implications for the covid-19 pandemic. Research in Developmental Disabilities, 109, 103852. DOI: https://doi.org/10.1016/j.ridd.2021.103852
Dalton, N. S. (2013). Neurodiversity & hci. In Chi ’13 extended abstracts on human factors in computing systems (p. 2295–2304). New York, NY, USA: Association for Computing Machinery. DOI: https://doi.org/10.1145/2468356.2468752
Darejeh, A., & Singh, D. (2013). A review on user interface design principles to increase software usability for users with less computer literacy. Journal of computer science, 9 (11), 1443. DOI: https://doi.org/10.3844/jcssp.2013.1443.1450
Doenyas, C., & Shohieb, S. M. (2021). Leveraging technology for the wellbeing of individuals with autism spectrum disorder and their families during covid-19. Frontiers in Psychiatry, 12 , 566809. DOI: https://doi.org/10.3389/fpsyt.2021.566809
Horner, R. H., Carr, E. G., Halle, J., McGee, G., Odom, S., & Wolery, M. (2005). The use of single-subject research to identify evidence-based practice in special education. Exceptional children, 71 (2), 165–179. DOI: https://doi.org/10.1177/001440290507100203
ISO, I. f. S. (2010). Ergonomics of human-system interaction: Part 210: Human-centred design for interactive systems. ISO.
Kraleva, R., & Kralev, V. (2018). An evaluation of the mobile apps for children with special education needs based on the utility function metrics. International Journal on Advance Science Engineering Information Technology, 8(6), 2269-2277. DOI: https://doi.org/10.18517/ijaseit.8.6.6309
Lang, R., Ramdoss, S., Raulston, T., Carnet, A., Sigafoos, J., Didden, R., Moore, D., & O’Reilly, M. F. (2014). Assistive technology for people with autism spectrum disorders. In Assistive Technologies for People with Diverse Abilities (pp. 157–190). Springer. DOI: https://doi.org/10.1007/978-1-4899-8029-8_6
Larco, A., Yanez, C., Almendáriz, V., & Luján-Mora, S. (2018, April). Thinking about inclusion: Assessment of multiplatform apps for people with disability. In 2018 IEEE Global Engineering Education Conference (EDUCON) (pp. 350-354). IEEE. DOI: https://doi.org/10.1109/EDUCON.2018.8363250
Mankoff, J., Hayes, G. R., & Kasnitz, D. (2010). Disability studies as a source of critical inquiry for the field of assistive technology. In Proceedings of the 12th international acm sigaccess conference on computers and accessibility (pp. 3–10). DOI: https://doi.org/10.1145/1878803.1878807
Martínez-González, A. E., Rodríguez-Jiménez, T., Riaño-Hernández, D., Alexandra-Atehortúa, P., Ramírez-Conde, A., & Ramírez-García, L. (2023). Cross-cultural differences in autistic characteristics: a comparison between spain and colombia [Article]. International Journal of Developmental Disabilities. DOI: https://doi.org/10.1080/20473869.2023.2207298
Mazzei, D., Greco, A., Lazzeri, N., Zaraki, A., Lanata, A., Igliozzi, R., . . . others (2012). Robotic social therapy on children with autism: preliminary evaluation through multi-parametric analysis. In 2012 international conference on privacy, security, risk and trust and 2012 international confernece on social computing (pp. 766–771). DOI: https://doi.org/10.1109/SocialCom-PASSAT.2012.101
Mobahi, H., & Karahalios, K. G. (2005). Hci applications for aiding children with mental disorders. XRDS: Crossroads, The ACM Magazine for Students, 12 (2), 3–3. DOI: https://doi.org/10.1145/1144375.1144378
Putnam, C., & Chong, L. (2008). Software and technologies designed for people with autism: what do users want? In Proceedings of the 10th international acm sigaccess conference on computers and accessibility (pp. 3–10). DOI: https://doi.org/10.1145/1414471.1414475
Rodrigo, J., & Corral, D. (2013). Arasaac: portal aragonés de la comunicación aumentativa y alternativa. software, herramientas y materiales para la comunicación e inclusión. Informática na Educação: teoria & prática, 16 (2). DOI: https://doi.org/10.22456/1982-1654.43426
Rosli, S., Amin, N. A., Suryanto, S., & Ilias, K. (2022). Roles of digital technology in sustaining mental health among parent of children with autism spectrum disorders (asd) during pandemic covid-19. Environment-Behaviour Proceedings Journal, 7 (19), 173–179. DOI: https://doi.org/10.21834/ebpj.v7i19.3257
Saleh, M. A., Hanapiah, F. A., & Hashim, H. (2021). Robot applications for autism: a comprehensive review. Disability and Rehabilitation: Assistive Technology, 16 (6), 580–602. DOI: https://doi.org/10.1080/17483107.2019.1685016
Schneider, H., Eiband, M., Ullrich, D., & Butz, A. (2018). Empowerment in hci-a survey and framework. In Proceedings of the 2018 chi conference on human factors in computing systems (pp. 1–14). DOI: https://doi.org/10.1145/3173574.3173818
Sharmin, M., Hossain, M. M., Saha, A., Das, M., Maxwell, M., & Ahmed, S. (2018). From research to practice: Informing the design of autism support smart technology. In Proceedings of the 2018 chi conference on human factors in computing systems (pp. 1–16). DOI: https://doi.org/10.1145/3173574.3173676
Simm, W., Ferrario, M. A., Gradinar, A., Tavares Smith, M., Forshaw, S., Smith, I., & Whittle, J. (2016). Anxiety and autism: towards personalized digital health. In Proceedings of the 2016 chi conference on human factors in computing systems (pp. 1270–1281). DOI: https://doi.org/10.1145/2858036.2858259
Suhaila, N. A., & Nordin, N. M. (2022). Assistive technology for autism spectrum disorder: systematic literature review. International Journal of Advanced Research in Education and Society, 4 (2), 25–39.
Washington, P., Voss, C., Haber, N., Tanaka, S., Daniels, J., Feinstein, C., . . . Wall, D. (2016). A wearable social interaction aid for children with autism. In Proceedings of the 2016 chi conference extended abstracts on human factors in computing systems (pp. 2348–2354). DOI: https://doi.org/10.1145/2851581.2892282
Wing, L., & Gould, J. (1979). Severe impairments of social interaction and associated abnormalities in children: Epidemiology and classification. Journal of autism and developmental disorders, 9 (1), 11–29. DOI: https://doi.org/10.1007/BF01531288
Wobbrock, J. O. (2017). Sigchi social impact award talk–ability-based design: Elevating ability over disability in accessible computing. In Proceedings of the 2017 chi conference extended abstracts on human factors in computing systems (pp. 5–7) DOI: https://doi.org/10.1145/3027063.3058588
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2025 Revista de la Asociación Interacción Persona Ordenador (AIPO)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
