Uma Revisão Sistemática Sobre a Aplicação do Design de Interação em Tecnologias IoT Voltadas para Pessoas com Autismo
Resumo
Introdução: Tecnologias de Internet of Things (IoT) podem apoiar a inclusão de pessoas com Transtorno do Espectro Autista (TEA), mas carecem de diretrizes de design específicas. Objetivo: Mapear princípios de design de interação e características técnicas de soluções IoT para TEA. Metodologia: Revisão sistemática conforme PRISMA, abrangendo estudos de 2014 a 2025 em oito bases. Resultados: Dos 27 estudos, emergiram quatro princípios: feedback multimodal, simplicidade, acessibilidade adaptativa e cocriação. Aplicações concentram-se em vida diária, saúde e educação, com predominância de sensores e interfaces visuais. Persistem lacunas na inclusão de adultos e aspectos éticos.
Palavras-chave:
Transtorno do Espectro Autista, Internet das Coisas, Design de Interação, Tecnologia Assistiva
Referências
Al-Khalifa, H. S., Alrajhi, W., Alhassan, S., e Almotlag, M. (2017). Requirement elicitation for a toilet training wearable watch to serve autistic children. In 2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA), pages 1–5. IEEE.
Ashraf, Z. A. e Mustafa, N. (2025). Role of ai in transforming society. In Intersection of Human Rights and AI in Healthcare, pages 431–452. IGI Global Scientific Publishing.
Borg, K., Boulet, M., Smith, L., e Bragge, P. (2019). Digital inclusion & health communication: a rapid review of literature. Health communication, 34(11):1320–1328.
Bouchouras, G. e Kotis, K. (2025). Integrating artificial intelligence, internet of things, and sensor-based technologies: A systematic review of methodologies in autism spectrum disorder detection. Algorithms, 18(1):34.
Boyd, L. E., Jiang, X., e Hayes, G. R. (2017). Procom: Designing and evaluating a mobile and wearable system to support proximity awareness for people with autism. In Proceedings of the 2017 CHI conference on human factors in computing systems, pages 2865–2877.
Boza, D. d. M. B., de Araujo, H. X., e Tavares, F. M. (2023). Internet das coisas (iot) aplicada à educação–um estudo experimental com protótipo e estudantes autistas. Humanidades & Inovação, 10(12):339–356.
Campion, J., Male, I., e Farr, W. (2022). 1344 a systematic review: Which characteristics of autistic individuals can be utilised to create a scoring system to determine their ability to interact with communication-enhancing technology? Archives of Disease in Childhood, 107(Suppl 2):A87–A87.
Capisizu, A., Zăgrean, L., e Capisizu, A. S. (2025). Electroencephalographic aspects and phenotypic characteristics in children with autism. Journal of Medicine and Life, 18(3):246.
Cazarim, M. d. S., Reis, T. M. d., Cruz-Cazarim, E. L. C. d., e Pereira, L. R. L. (2021). Systematic review protocol: following prisma guide from cochrane to generate evidence as treatment effect of pharmaceutical care for hypertension in primary care. Brazilian Journal of Pharmaceutical Sciences, 56:e18028.
Chen, M., Xiao, W., Hu, L., Ma, Y., Zhang, Y., e Tao, G. (2021). Cognitive wearable robotics for autism perception enhancement. ACM Transactions on Internet Technology (TOIT), 21(4):1–16.
Den Brok, W. e Sterkenburg, P. (2015). Self-controlled technologies to support skill attainment in persons with an autism spectrum disorder and/or an intellectual disability: a systematic literature review. Disability and Rehabilitation: Assistive Technology, 10(1):1–10.
Deng, L., Rattadilok, P., e Xiong, R. (2021). A machine learning-based monitoring system for attention and stress detection for children with autism spectrum disorders. In Proceedings of the 2021 International Conference on Intelligent Medicine and Health, pages 23–29.
Duvall, J. C., Dunne, L. E., Schleif, N., e Holschuh, B. (2016). Active"hugging"vest for deep touch pressure therapy. In Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, pages 458–463.
Escobedo, L., Ibarra, C., Hernandez, J., Alvelais, M., e Tentori, M. (2014). Smart objects to support the discrimination training of children with autism. Personal and ubiquitous computing, 18:1485–1497.
Eshetu, Y., Bhuyan, P., e Behura, A. (2018). A service-oriented iot system to support individuals with asd. In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), pages 251–256. IEEE.
Feeham, S. Y., Akter, T., Debnath, S., e Mia, M. S. (2022). Risk analysis and support system for autistic children using iot. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1–6. IEEE.
Filgueira, L. M. d. A., Brilhante, A. V. M., Sá, A. R. d., e Colares, M. S. F. (2023). Desenvolvimento de estratégia de pesquisa participativa envolvendo pessoas autistas com diferentes níveis de suporte. Ciência & Saúde Coletiva, 28(05):1501–1512.
Frauenberger, C., Makhaeva, J., e Spiel, K. (2016). Designing smart objects with autistic children: Four design exposès. In Proceedings of the 2016 CHI conference on human factors in computing systems, pages 130–139.
Ganggayah, M. D., Zhao, D., Liew, J. Y., Aqilah, N., Paramasivam, T., Lee, Y. Y., Hasan, N. I. A., e Shaharuddin, S. (2025). Accelerating autism spectrum disorder care: A rapid review of data science applications in diagnosis and intervention. Asian Journal of Psychiatry, page 104498.
Garzotto, F. e Gelsomini, M. (2018). Magic room: A smart space for children with neurodevelopmental disorder. IEEE Pervasive Computing, 17(1):38–48.
Geerthik, S. et al. (2024). Iot based smart educational tool to support literacy acquisition for dyslexic and autistic children. In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), pages 248–253. IEEE.
Grosvenor, L. P., Croen, L. A., Lynch, F. L., Marafno, B. J., Maye, M., Penfold, R. B., Simon, G. E., e Ames, J. L. (2024). Autism diagnosis among us children and adults, 2011-2022. JAMA Network Open, 7(10):e2442218–e2442218.
Hirota, T. e King, B. H. (2023). Autism spectrum disorder: a review. Jama, 329(2):157–168.
Hussain, A., Abdullah, A., Husni, H., e Mkpojiogu, E. O. (2016). Interaction design principles for edutainment systems: Enhancing the communication skills of children with autism spectrum disorders. Revista Tecnica De La Facultad De Ingenieria Universidad Del Zulia (Technical Journal of the Faculty of Engineering, TJFE), 39(8):45–50.
Ishak, N. I., Yusof, H. M., Sidek, S. N., e Jaalan, Z. (2017). Interactive robotic platform for education and language skill rehabilitation. In 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), pages 1–5. IEEE.
Johnson, K. T., Narain, J., Ferguson, C., Picard, R., e Maes, P. (2020). The echos platform to enhance communication for nonverbal children with autism: A case study. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1–8.
Johnson, K. T. e Picard, R. W. (2017). Spring: Customizable, motivation-driven technology for children with autism or neurodevelopmental differences.
Kelson, E. e Dorstyn, D. (2025). Telehealth as a psychological intervention for caregivers of children with neurodevelopmental disorders: A systematic review with effect sizes. Journal of Autism and Developmental Disorders, 55(1):43–58.
Krause, M. e Neto, M. A. C. (2021). Systematic mapping of the literature on mobile apps for people with autistic spectrum disorder. In Proceedings of the Brazilian Symposium on Multimedia and the Web, pages 45–52.
Lorah, E. R., Parnell, A., Whitby, P. S., e Hantula, D. (2015). A systematic review of tablet computers and portable media players as speech generating devices for individuals with autism spectrum disorder. Journal of autism and developmental disorders, 45:3792–3804.
Lord, C., Elsabbagh, M., Baird, G., e Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The lancet, 392(10146):508–520.
Maun, R., Fabri, M., e Trevorrow, P. (2023). Participatory methods to engage autistic people in the design of digital technology: A systematic literature review. Journal of Autism and Developmental Disorders, pages 1–12.
Mayadunne, M., Manawadu, U. A., Abeyratne, K. R., e De Silva, P. R. S. (2020). A robotic companion for children diagnosed with autism spectrum disorder. In 2020 International Conference on Image Processing and Robotics (ICIP), pages 1–6. IEEE.
Minani, J. B., El Fellah, Y., Sabir, F., Moha, N., Gueheneuc, Y.-G., Kuradusenge, M., e Masuda, T. (2025). Iot systems testing: Taxonomy, empirical findings, and recommendations. Journal of Systems and Software, 226:112408.
Miranda, L. B., Riso, E. A., Barros, E. N., e Calegario, F. (2023). Autoy: Adaptive and reconfigurable iot toy for autistic children. In 2023 15th IEEE International Conference on Industry Applications (INDUSCON), pages 946–952. IEEE.
Miri, P., Arora, M., Malhotra, A., Flory, R., Hu, S., Lowber, A., Goyal, I., Nguyen, J., Hegarty, J. P., Kohn, M. D., et al. (2022). Far: end-to-end vibrotactile distributed system designed to facilitate affect regulation in children diagnosed with autism spectrum disorder through slow breathing. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pages 1–20.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Group, P., et al. (2010). Preferred reporting items for systematic reviews and meta-analyses: the prisma statement. International journal of surgery, 8(5):336–341.
Mónica, R., Ivana, H., Javier, D., e Jorge, R. (2020). Augmented reality for children with autism spectrum disorder-a systematic review. In 2020 International Conference on Intelligent Systems and Computer Vision (ISCV), pages 1–7. IEEE.
Muhammed, D., Ahvar, E., Ahvar, S., Trocan, M., Montpetit, M.-J., e Ehsani, R. (2024). Artifcial intelligence of things (aiot) for smart agriculture: A review of architectures, technologies and solutions. Journal of Network and Computer Applications, page 103905.
Murphy, E., Shiels, O., Fiori, S., McCausland, D., Bergström, H., Koster, R., Noorlandt, H., Korfage, I., e Wallén, E. F. (2025). Bridging the digital divide for individuals with intellectual disabilities: Implications for well-being and inclusion. British Journal of Learning Disabilities, 53(1):17–31.
Palermo, E. H., Young, A. V., Deswert, S., Brown, A., Goldberg, M., Sultanik, E., Tan, J., Mazefsky, C. A., Brookman-Frazee, L., McPartland, J. C., et al. (2023). A digital mental health app incorporating wearable biosensing for teachers of children on the autism spectrum to support emotion regulation: Protocol for a pilot randomized controlled trial. JMIR Research Protocols, 12(1):e45852.
Pérez-Fuster, P., Sevilla, J., e Herrera, G. (2019). Enhancing daily living skills in four adults with autism spectrum disorder through an embodied digital technology-mediated intervention. Research in Autism Spectrum Disorders, 58:54–67.
Petrovska, I. V., Petrevska, N., e Trajkovski, V. (2020). Stakeholders’ views on barriers and facilitators of optimal support of individuals with autism spectrum disorder in macedonia. Annales Universitatis Paedagogicae Cracoviensis Studia Psychologica, 13:27–42.
RajKumar, A., Arora, C., Katz, B., e Kapila, V. (2019). Wearable smart glasses for assessment of eye-contact behavior in children with autism. In Frontiers in Biomedical Devices, volume 41037, page V001T09A006. American Society of Mechanical Engineers.
Sawyer, L. D. e Palaniappan, R. (2024). Interface design for autism in an ever-updating world.
Sharmin, M., Hossain, M. M., Saha, A., Das, M., Maxwell, M., e 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, pages 1–16.
Shi, Y., Das, S., Douglas, S., e Biswas, S. (2017). An experimental wearable iot for data-driven management of autism. In 2017 9th international Conference on Communication Systems and Networks (COMSNETS), pages 468–471. IEEE.
Simm, W., Ferrario, M. A., Gradinar, A., Tavares Smith, M., Forshaw, S., Smith, I., e Whittle, J. (2016). Anxiety and autism: towards personalized digital health. In Proceedings of the 2016 CHI conference on human factors in computing systems, pages 1270–1281.
Simm, W., Ferrario, M. A., Gradinar, A., e Whittle, J. (2014). Prototyping’clasp’ implications for designing digital technology for and with adults with autism. In Proceedings of the 2014 conference on Designing interactive systems, pages 345–354.
Stracke, C. M., Chounta, I.-A., Holmes, W., Tlili, A., e Bozkurt, A. (2023). A standardised prisma-based protocol for systematic reviews of the scientific literature on artificial intelligence and education (ai&ed). Journal of Applied Learning and Teaching, 6(2):64–70.
Tabolacci, C., Caruso, A., Micai, M., Galati, G., Lintas, C., Pisanu, M. E., e Scattoni, M. L. (2025). Biogenic amine metabolism and its genetic variations in autism spectrum disorder: A comprehensive overview. Biomolecules, 15(4):539.
Tang, T. Y. (2016). Helping neuro-typical individuals to"read"the emotion of children with autism spectrum disorder: an internet-of-things approach. In Proceedings of the the 15th international conference on interaction design and children, pages 666–671.
Ullah, F., AbuAli, N. A., Ullah, A., Ullah, R., Siddiqui, U. A., e Siddiqui, A. A. (2023). Fusion-based body-worn iot sensor platform for gesture recognition of autism spectrum disorder children. Sensors, 23(3):1672.
Wang, K., Julier, S. J., e Cho, Y. (2022). Attention-based applications in extended reality to support autistic users: A systematic review. IEEE Access, 10:15574–15593.
Widiantoro, A. D. (2023). Implementation of the user centered design (ucd) method for msme e-commerce. SISFORMA, 10(2).
Yap, C. Y., Ng, K. H., Cheah, Y., Lim, S. Y., Price, J., e De Vries, M. (2019). App4autism: An integrated assistive technology with heart rate monitoring for children with autism. In Advances in Visual Informatics: 6th International Visual Informatics Conference, IVIC 2019, Bangi, Malaysia, November 19–21, 2019, Proceedings 6, pages 498–512. Springer.
Zaina, L., Prates, R. O., Delabrida Silva, S. E., Choma, J., Valentim, N. M. C., Frigo, L. B., e Bicho, A. D. L. (2024). Grandihc-br 2025-2035-gc7: Interaction with emerging technologies: An ecosystem integrating humans technologies and contexts. In Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems, pages 1–21.
Zhang, L., Guan, X., Xue, H., Liu, X., Zhang, B., Liu, S., e Ming, D. (2025). Sex-specific patterns in social visual attention among individuals with autistic traits. BMC Psychiatry, 25(1):440.
Ashraf, Z. A. e Mustafa, N. (2025). Role of ai in transforming society. In Intersection of Human Rights and AI in Healthcare, pages 431–452. IGI Global Scientific Publishing.
Borg, K., Boulet, M., Smith, L., e Bragge, P. (2019). Digital inclusion & health communication: a rapid review of literature. Health communication, 34(11):1320–1328.
Bouchouras, G. e Kotis, K. (2025). Integrating artificial intelligence, internet of things, and sensor-based technologies: A systematic review of methodologies in autism spectrum disorder detection. Algorithms, 18(1):34.
Boyd, L. E., Jiang, X., e Hayes, G. R. (2017). Procom: Designing and evaluating a mobile and wearable system to support proximity awareness for people with autism. In Proceedings of the 2017 CHI conference on human factors in computing systems, pages 2865–2877.
Boza, D. d. M. B., de Araujo, H. X., e Tavares, F. M. (2023). Internet das coisas (iot) aplicada à educação–um estudo experimental com protótipo e estudantes autistas. Humanidades & Inovação, 10(12):339–356.
Campion, J., Male, I., e Farr, W. (2022). 1344 a systematic review: Which characteristics of autistic individuals can be utilised to create a scoring system to determine their ability to interact with communication-enhancing technology? Archives of Disease in Childhood, 107(Suppl 2):A87–A87.
Capisizu, A., Zăgrean, L., e Capisizu, A. S. (2025). Electroencephalographic aspects and phenotypic characteristics in children with autism. Journal of Medicine and Life, 18(3):246.
Cazarim, M. d. S., Reis, T. M. d., Cruz-Cazarim, E. L. C. d., e Pereira, L. R. L. (2021). Systematic review protocol: following prisma guide from cochrane to generate evidence as treatment effect of pharmaceutical care for hypertension in primary care. Brazilian Journal of Pharmaceutical Sciences, 56:e18028.
Chen, M., Xiao, W., Hu, L., Ma, Y., Zhang, Y., e Tao, G. (2021). Cognitive wearable robotics for autism perception enhancement. ACM Transactions on Internet Technology (TOIT), 21(4):1–16.
Den Brok, W. e Sterkenburg, P. (2015). Self-controlled technologies to support skill attainment in persons with an autism spectrum disorder and/or an intellectual disability: a systematic literature review. Disability and Rehabilitation: Assistive Technology, 10(1):1–10.
Deng, L., Rattadilok, P., e Xiong, R. (2021). A machine learning-based monitoring system for attention and stress detection for children with autism spectrum disorders. In Proceedings of the 2021 International Conference on Intelligent Medicine and Health, pages 23–29.
Duvall, J. C., Dunne, L. E., Schleif, N., e Holschuh, B. (2016). Active"hugging"vest for deep touch pressure therapy. In Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, pages 458–463.
Escobedo, L., Ibarra, C., Hernandez, J., Alvelais, M., e Tentori, M. (2014). Smart objects to support the discrimination training of children with autism. Personal and ubiquitous computing, 18:1485–1497.
Eshetu, Y., Bhuyan, P., e Behura, A. (2018). A service-oriented iot system to support individuals with asd. In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), pages 251–256. IEEE.
Feeham, S. Y., Akter, T., Debnath, S., e Mia, M. S. (2022). Risk analysis and support system for autistic children using iot. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1–6. IEEE.
Filgueira, L. M. d. A., Brilhante, A. V. M., Sá, A. R. d., e Colares, M. S. F. (2023). Desenvolvimento de estratégia de pesquisa participativa envolvendo pessoas autistas com diferentes níveis de suporte. Ciência & Saúde Coletiva, 28(05):1501–1512.
Frauenberger, C., Makhaeva, J., e Spiel, K. (2016). Designing smart objects with autistic children: Four design exposès. In Proceedings of the 2016 CHI conference on human factors in computing systems, pages 130–139.
Ganggayah, M. D., Zhao, D., Liew, J. Y., Aqilah, N., Paramasivam, T., Lee, Y. Y., Hasan, N. I. A., e Shaharuddin, S. (2025). Accelerating autism spectrum disorder care: A rapid review of data science applications in diagnosis and intervention. Asian Journal of Psychiatry, page 104498.
Garzotto, F. e Gelsomini, M. (2018). Magic room: A smart space for children with neurodevelopmental disorder. IEEE Pervasive Computing, 17(1):38–48.
Geerthik, S. et al. (2024). Iot based smart educational tool to support literacy acquisition for dyslexic and autistic children. In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), pages 248–253. IEEE.
Grosvenor, L. P., Croen, L. A., Lynch, F. L., Marafno, B. J., Maye, M., Penfold, R. B., Simon, G. E., e Ames, J. L. (2024). Autism diagnosis among us children and adults, 2011-2022. JAMA Network Open, 7(10):e2442218–e2442218.
Hirota, T. e King, B. H. (2023). Autism spectrum disorder: a review. Jama, 329(2):157–168.
Hussain, A., Abdullah, A., Husni, H., e Mkpojiogu, E. O. (2016). Interaction design principles for edutainment systems: Enhancing the communication skills of children with autism spectrum disorders. Revista Tecnica De La Facultad De Ingenieria Universidad Del Zulia (Technical Journal of the Faculty of Engineering, TJFE), 39(8):45–50.
Ishak, N. I., Yusof, H. M., Sidek, S. N., e Jaalan, Z. (2017). Interactive robotic platform for education and language skill rehabilitation. In 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), pages 1–5. IEEE.
Johnson, K. T., Narain, J., Ferguson, C., Picard, R., e Maes, P. (2020). The echos platform to enhance communication for nonverbal children with autism: A case study. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1–8.
Johnson, K. T. e Picard, R. W. (2017). Spring: Customizable, motivation-driven technology for children with autism or neurodevelopmental differences.
Kelson, E. e Dorstyn, D. (2025). Telehealth as a psychological intervention for caregivers of children with neurodevelopmental disorders: A systematic review with effect sizes. Journal of Autism and Developmental Disorders, 55(1):43–58.
Krause, M. e Neto, M. A. C. (2021). Systematic mapping of the literature on mobile apps for people with autistic spectrum disorder. In Proceedings of the Brazilian Symposium on Multimedia and the Web, pages 45–52.
Lorah, E. R., Parnell, A., Whitby, P. S., e Hantula, D. (2015). A systematic review of tablet computers and portable media players as speech generating devices for individuals with autism spectrum disorder. Journal of autism and developmental disorders, 45:3792–3804.
Lord, C., Elsabbagh, M., Baird, G., e Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The lancet, 392(10146):508–520.
Maun, R., Fabri, M., e Trevorrow, P. (2023). Participatory methods to engage autistic people in the design of digital technology: A systematic literature review. Journal of Autism and Developmental Disorders, pages 1–12.
Mayadunne, M., Manawadu, U. A., Abeyratne, K. R., e De Silva, P. R. S. (2020). A robotic companion for children diagnosed with autism spectrum disorder. In 2020 International Conference on Image Processing and Robotics (ICIP), pages 1–6. IEEE.
Minani, J. B., El Fellah, Y., Sabir, F., Moha, N., Gueheneuc, Y.-G., Kuradusenge, M., e Masuda, T. (2025). Iot systems testing: Taxonomy, empirical findings, and recommendations. Journal of Systems and Software, 226:112408.
Miranda, L. B., Riso, E. A., Barros, E. N., e Calegario, F. (2023). Autoy: Adaptive and reconfigurable iot toy for autistic children. In 2023 15th IEEE International Conference on Industry Applications (INDUSCON), pages 946–952. IEEE.
Miri, P., Arora, M., Malhotra, A., Flory, R., Hu, S., Lowber, A., Goyal, I., Nguyen, J., Hegarty, J. P., Kohn, M. D., et al. (2022). Far: end-to-end vibrotactile distributed system designed to facilitate affect regulation in children diagnosed with autism spectrum disorder through slow breathing. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pages 1–20.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Group, P., et al. (2010). Preferred reporting items for systematic reviews and meta-analyses: the prisma statement. International journal of surgery, 8(5):336–341.
Mónica, R., Ivana, H., Javier, D., e Jorge, R. (2020). Augmented reality for children with autism spectrum disorder-a systematic review. In 2020 International Conference on Intelligent Systems and Computer Vision (ISCV), pages 1–7. IEEE.
Muhammed, D., Ahvar, E., Ahvar, S., Trocan, M., Montpetit, M.-J., e Ehsani, R. (2024). Artifcial intelligence of things (aiot) for smart agriculture: A review of architectures, technologies and solutions. Journal of Network and Computer Applications, page 103905.
Murphy, E., Shiels, O., Fiori, S., McCausland, D., Bergström, H., Koster, R., Noorlandt, H., Korfage, I., e Wallén, E. F. (2025). Bridging the digital divide for individuals with intellectual disabilities: Implications for well-being and inclusion. British Journal of Learning Disabilities, 53(1):17–31.
Palermo, E. H., Young, A. V., Deswert, S., Brown, A., Goldberg, M., Sultanik, E., Tan, J., Mazefsky, C. A., Brookman-Frazee, L., McPartland, J. C., et al. (2023). A digital mental health app incorporating wearable biosensing for teachers of children on the autism spectrum to support emotion regulation: Protocol for a pilot randomized controlled trial. JMIR Research Protocols, 12(1):e45852.
Pérez-Fuster, P., Sevilla, J., e Herrera, G. (2019). Enhancing daily living skills in four adults with autism spectrum disorder through an embodied digital technology-mediated intervention. Research in Autism Spectrum Disorders, 58:54–67.
Petrovska, I. V., Petrevska, N., e Trajkovski, V. (2020). Stakeholders’ views on barriers and facilitators of optimal support of individuals with autism spectrum disorder in macedonia. Annales Universitatis Paedagogicae Cracoviensis Studia Psychologica, 13:27–42.
RajKumar, A., Arora, C., Katz, B., e Kapila, V. (2019). Wearable smart glasses for assessment of eye-contact behavior in children with autism. In Frontiers in Biomedical Devices, volume 41037, page V001T09A006. American Society of Mechanical Engineers.
Sawyer, L. D. e Palaniappan, R. (2024). Interface design for autism in an ever-updating world.
Sharmin, M., Hossain, M. M., Saha, A., Das, M., Maxwell, M., e 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, pages 1–16.
Shi, Y., Das, S., Douglas, S., e Biswas, S. (2017). An experimental wearable iot for data-driven management of autism. In 2017 9th international Conference on Communication Systems and Networks (COMSNETS), pages 468–471. IEEE.
Simm, W., Ferrario, M. A., Gradinar, A., Tavares Smith, M., Forshaw, S., Smith, I., e Whittle, J. (2016). Anxiety and autism: towards personalized digital health. In Proceedings of the 2016 CHI conference on human factors in computing systems, pages 1270–1281.
Simm, W., Ferrario, M. A., Gradinar, A., e Whittle, J. (2014). Prototyping’clasp’ implications for designing digital technology for and with adults with autism. In Proceedings of the 2014 conference on Designing interactive systems, pages 345–354.
Stracke, C. M., Chounta, I.-A., Holmes, W., Tlili, A., e Bozkurt, A. (2023). A standardised prisma-based protocol for systematic reviews of the scientific literature on artificial intelligence and education (ai&ed). Journal of Applied Learning and Teaching, 6(2):64–70.
Tabolacci, C., Caruso, A., Micai, M., Galati, G., Lintas, C., Pisanu, M. E., e Scattoni, M. L. (2025). Biogenic amine metabolism and its genetic variations in autism spectrum disorder: A comprehensive overview. Biomolecules, 15(4):539.
Tang, T. Y. (2016). Helping neuro-typical individuals to"read"the emotion of children with autism spectrum disorder: an internet-of-things approach. In Proceedings of the the 15th international conference on interaction design and children, pages 666–671.
Ullah, F., AbuAli, N. A., Ullah, A., Ullah, R., Siddiqui, U. A., e Siddiqui, A. A. (2023). Fusion-based body-worn iot sensor platform for gesture recognition of autism spectrum disorder children. Sensors, 23(3):1672.
Wang, K., Julier, S. J., e Cho, Y. (2022). Attention-based applications in extended reality to support autistic users: A systematic review. IEEE Access, 10:15574–15593.
Widiantoro, A. D. (2023). Implementation of the user centered design (ucd) method for msme e-commerce. SISFORMA, 10(2).
Yap, C. Y., Ng, K. H., Cheah, Y., Lim, S. Y., Price, J., e De Vries, M. (2019). App4autism: An integrated assistive technology with heart rate monitoring for children with autism. In Advances in Visual Informatics: 6th International Visual Informatics Conference, IVIC 2019, Bangi, Malaysia, November 19–21, 2019, Proceedings 6, pages 498–512. Springer.
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Publicado
08/09/2025
Como Citar
CESAR, Rogerio Lopes Vieira; GONÇALVES, Ariel Barbosa; MONTEIRO, Ingrid Teixeira; ENGLER, Rita de Castro.
Uma Revisão Sistemática Sobre a Aplicação do Design de Interação em Tecnologias IoT Voltadas para Pessoas com Autismo. In: SIMPÓSIO BRASILEIRO SOBRE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 24. , 2025, Belo Horizonte/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 976-999.
DOI: https://doi.org/10.5753/ihc.2025.10778.
