Technology Contribution to Improve Autistic Children Life Quality

To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS and Scopus databases were included, adjusted to a timeline between 2016 and 2020...

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Autores:
Comas-González, Zhoe
Sánchez-Comas, Andrés
De-La-Hoz-Franco, Emiro
Synnes, Kåre
Sánchez, Joaquín F.
Collazos-Morales, Carlos
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7315
Acceso en línea:
https://hdl.handle.net/11323/7315
https://doi.org/10.1007/978-3-030-61834-6_29
https://repositorio.cuc.edu.co/
Palabra clave:
Autism spectrum disorder
Autism therapies
Technology intervention
Review of the literature
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/7315
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Technology Contribution to Improve Autistic Children Life Quality
title Technology Contribution to Improve Autistic Children Life Quality
spellingShingle Technology Contribution to Improve Autistic Children Life Quality
Autism spectrum disorder
Autism therapies
Technology intervention
Review of the literature
title_short Technology Contribution to Improve Autistic Children Life Quality
title_full Technology Contribution to Improve Autistic Children Life Quality
title_fullStr Technology Contribution to Improve Autistic Children Life Quality
title_full_unstemmed Technology Contribution to Improve Autistic Children Life Quality
title_sort Technology Contribution to Improve Autistic Children Life Quality
dc.creator.fl_str_mv Comas-González, Zhoe
Sánchez-Comas, Andrés
De-La-Hoz-Franco, Emiro
Synnes, Kåre
Sánchez, Joaquín F.
Collazos-Morales, Carlos
dc.contributor.author.spa.fl_str_mv Comas-González, Zhoe
Sánchez-Comas, Andrés
De-La-Hoz-Franco, Emiro
Synnes, Kåre
Sánchez, Joaquín F.
Collazos-Morales, Carlos
dc.subject.spa.fl_str_mv Autism spectrum disorder
Autism therapies
Technology intervention
Review of the literature
topic Autism spectrum disorder
Autism therapies
Technology intervention
Review of the literature
description To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS and Scopus databases were included, adjusted to a timeline between 2016 and 2020 and focused on mobile technology, interventions, improvement of social behavior and communication and autism, aimed to describe the most used mechanism to improve autistic life style. Thirty two (32) papers were included in the review. We obtained 14 papers on the Scopus database and 18 on the WOS database. The majority of studies evidenced the use of virtual reality, mobile devices, video modelling and robots as the most common applications for autism therapies. Technology has caused an improvement in autistic children life quality. The development of mobile applications, virtual reality applications and robots have showed a positive impact reflected in the performance of daily activities and a better understanding of how they feel, how to behave, how to express themselves and interact with others. Technology gives the opportunity to monitor children status; and offers adaptability, safety, and accuracy of the information.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-11-17T15:49:54Z
dc.date.available.none.fl_str_mv 2020-11-17T15:49:54Z
dc.date.issued.none.fl_str_mv 2020
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/7315
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1007/978-3-030-61834-6_29
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/7315
https://doi.org/10.1007/978-3-030-61834-6_29
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv Dekhil, O., et al.: Using resting state functional MRI to build a personalized autism diagnosis system. no. Isbi, pp. 1381–1385 (2018)
Bekele, E., Wade, J., Bian, D., Fan, J., Swanson, A., Warren, Z.: Multimodal adaptive social interaction in virtual environment (MASI-VR) for children with autism spectrum disorders (ASD). In: 2016 IEEE Virtual Reality (VR), pp. 121–130 (2016)
Santamaria, A.F., De Rango, F., Serianni, A., Raimondo, P.: A real IoT device deployment for e-Health applications under lightweight communication protocols, activity classifier and edge data filtering. Comput. Commun. 128, 60–73 (2018)
Rodrigues, J.J.P.C., et al.: Enabling technologies for the internet of health things. In: IEEE Access, vol. 6, pp. 13129–13141 (2018)
Comas-González, Z., Echeverri-Ocampo, I., Zamora-Musa, R., Velez, J., Sarmiento, R., Orellana, M.: Recent trends in virtual education and its strong connection with the immersive environments [Tendencias recientes de la educación virtual y su fuerte conexión con los entornos inmersivos]. Espacios, vol. 38, no. 15 (2017)
Pilotte, M.: Autism spectrum disorder and engineering education—needs and considerations. In: 2016 IEEE Frontiers in Education Conference (FIE) (2016)
Uzuegbunam, N., Wong, W.H., Ching, S., Cheung, S., Ruble, L.: MEBook: multimedia social greetings intervention for children with autism spectrum disorders. IEEE Trans. Learn. Technol. XX (January 2016), 1–17 (2017)
Beattie, M., Hallberg, J., Nugent, C., Synnes, K., Cleland, I., Lee, S.: A collaborative patient-carer interface for generating home based rules for self-management. In: Bodine, C., Helal, S., Gu, T., Mokhtari, M. (eds.) ICOST 2014. LNCS, vol. 8456, pp. 93–102. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14424-5_10
Ahmed, I.U., Hassan, N., Rashid, H.: Solar powered smart wearable health monitoring and tracking device based on GPS and GSM technology for children with autism. In: 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 111–116 (2017)
Ogwulu, C.B., Jackson, L.J., Kinghorn, P., Roberts, T.E.: A systematic review of the techniques used to value temporary health states. Value Health 20(8), 1180–1197 (2017)
De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J.M., Espinilla, M.: Sensor-based datasets for human activity recognition—a systematic review of literature. IEEE Access 6, 59192–59210 (2018)
Comas-González, Z., Simancas-García, J., Rueda Bernal, V., Vélez-Zapata, J., Percia, I.: Redes de sensores inalámbricos para la monitorización de sistemas de calefacción, ventilación y aire acondicionado. Rev. Espac. 39(45), 13 (2018)
Bagdadli, S., Gianecchini, M.: Organizational career management practices and objective career success: a systematic review and framework. Hum. Resour. Manag. Rev. (September 2017), 1 (2018)
Briscoe, E., Appling, S., Schlosser, J.: Technology futures from passive crowdsourcing. IEEE Trans. Comput. Soc. Syst. 3(1), 23–31 (2016)
Zaki, T., Islam, M.N., Uddin, S., Tumpa, S.N., Hossain, J.: Towards developing a learning tool for children with autism. In: 2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology (ICIEV-ISCMHT) (2017)
Shi, Y., Das, S., Douglas, S., Biswas, S.: An experimental wearable IoT for data-driven management of autism. In: 2017 9th International Conference on Communication Systems and Networks, COMSNETS 2017, pp. 468–471 (2017)
Pasco, G.: The value of early intervention for children with autism. Paediatr. Child Health (Oxford) 28(8), 364–367 (2018)
Moreno, J.C., Morales, E.M.S., Seller, E.P.: Case study of the vulnerabilities that children with autism spectrum disorder have in education: the importance of early detection. Procedia Soc. Behav. Sci. 237, 661–666 (2017)
Grossard, C., Grynspan, O., Serret, S., Jouen, A.L., Bailly, K., Cohen, D.: Serious games to teach social interactions and emotions to individuals with autism spectrum disorders (ASD). Comput. Educ. 113, 195–211 (2017)
Bozgeyikli, L., Raij, A., Katkoori, S., Alqasemi, R.: A survey on virtual reality for individuals with autism spectrum disorder: design considerations. IEEE Trans. Learn. Technol. 11(2), 133–151 (2018)
Boyd, L.E., Hayes, G.R.: Wearable assistive technologies for autism opportunities and challenges. IEEE Pervasive Comput. 17, 11–21 (2018)
Kumdee, O.: Repetitive motion detection for human behavior understanding from video images. In: 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 484–489 (2015)
Zunino, A., et al.: Video gesture analysis for autism spectrum disorder detection. In: 2018 24th International Conference on Pattern Recognition (ICPR), pp. 3421–3426 (2018)
Min, C.-H.: Automatic detection and labeling of self-stimulatory behavioral patterns in children with autism spectrum disorder. In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 279–282 (2017)
Calandra, D.M. Di Mauro, D., Cutugno, F., Di Martino, S.: Navigating wall-sized displays with the gaze: a proposal for cultural heritage. CEUR Workshop Proceeding, vol. 1621, no. January pp. 36–43 (2016)
Seshadri, S.: iPad gives voice to kids with autism. CNN (2012).
Al-khalifa, H.S., Alrajhi, W., Alhassan, S., Almotlag, M.: 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) (2018)
Technologies, R., Hollosy, W.O.N., Notenboom, T., Banos, O.: A study on the perceptions of autistic adolescents towards mainstream emotion. In: 12th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2018), vol. 10, pp. 1–12 (2018)
Adolfo, J., Camargo, C., Augusto, C., Cortés, P., García, P.: Evaluación de las emociones de usuarios en tareas con realimentación háptica utilizado el dispositivo Emotiv Insight Assessment of the users emotions in haptic feedback tasks using the Emotiv Insight device. INGE CUC 15(1), 9–16 (2019)
Chandler, D.: Opening new worlds for those with autism: technology is creating great new possibilities for those on every part of the spectrum. IEEE Pulse. 7(4), 43–46 (2016)
Akbar, G.S.: User interface (UI) design of scheduling activity apps for autistic children. In: 2017 International Conference on Orange Technologies (ICOT), pp. 129–133 (2017)
Kamaruzaman, M.F., Noor, H., Hanapiah, F.A., Halabi, M., Azahari, H.: Efficacy of DTT by using touchscreen learning numeracy app for children with autism. In: 2016 IEEE 8th International Conference on Engineering Education (ICEED), pp. 198–201 (2016)
Papathomas, P., Goldschmidt, K.: Utilizing virtual reality and immersion video technology as a focused learning tool for children with autism spectrum disorder. J. Pediatr. Nurs. 35, 8–9 (2017)
Didehbani, N., Allen, T., Kandalaft, M., Krawczyk, D., Chapman, S.: Virtual Reality Social Cognition Training for children with high functioning autism. Comput. Hum. Behav. 62, 703–711 (2016)
Lamash, L., Klinger, E., Josman, N.: Using a virtual supermarket to promote independent functioning among adolescents with Autism Spectrum Disorder. In: International Conference on Virtual Rehabilitation, ICVR (2017)
Bozgeyikli, L., Bozgeyikli, E., Raij, A., Alqasemi, R., Katkoori, S., Dubey, R.: Vocational training with immersive virtual reality for individuals with autism: towards better design practices. In: 2016 IEEE 2nd Workshop on Everyday Virtual Reality, WEVR 2016, pp. 21–25 (2017)
Health Tech Digital: Floreo brings autism therapy into the home environment.
Munoz, R., Barcelos, T.T.S., Villarroel, R., Silveira, I.F.: Game design workshop to develop computational thinking skills in teenagers with Autism Spectrum Disorders. In: 2016 11th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–4 (2016)
Salter, T., Davey, N., Francoise, M.: Designing & developing QueBall, a robotic device for autism therapy Designing & Developing QueBall, A Robotic Device for Autism Therapy. In: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2016 (October), pp. 574–579 (2014)
Zheng, Z., Young, E.M., Swanson, A.R., Weitlauf, A.S., Warren, Z.E., Sarkar, N.: Robot-mediated imitation skill training for children with autism. IEEE Trans. Neural Syst. Rehabil. Eng. 24(6), 682–691 (2016)
Ackovska, N., Kirandziska, V., Tanevska, A., Bozinovska, L., Bozinovski, A.: Robot - Assisted therapy for autistic children. In: Conference Proceedings - IEEE SOUTHEASTCON, pp. 1–2 (2017)
Kevin, C.: Moving, Speaking Robots Help Detect Autism Earlier. University of Minnesota (2018)
Mavadati, S.M., Feng, H., Salvador, M., Silver, S., Gutierrez, A., Mahoor, M.H.: Robot-based therapeutic protocol for training children with Autism. In: 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, pp. 855–860 (2016)
Jiménez Moreno, R., Espinosa Valcárcel, F., Amaya Hurtado, D.: Control de movimiento de un robot humanoide por medio de visión de máquina y réplica de movimientos humanos. INGE CUC 9(2), 44–51. Recuperado a partir de https://revistascientificas.cuc.edu.co/ingecuc/article/view/5
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spelling Comas-González, ZhoeSánchez-Comas, AndrésDe-La-Hoz-Franco, EmiroSynnes, KåreSánchez, Joaquín F.Collazos-Morales, Carlos2020-11-17T15:49:54Z2020-11-17T15:49:54Z2020https://hdl.handle.net/11323/7315https://doi.org/10.1007/978-3-030-61834-6_29Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS and Scopus databases were included, adjusted to a timeline between 2016 and 2020 and focused on mobile technology, interventions, improvement of social behavior and communication and autism, aimed to describe the most used mechanism to improve autistic life style. Thirty two (32) papers were included in the review. We obtained 14 papers on the Scopus database and 18 on the WOS database. The majority of studies evidenced the use of virtual reality, mobile devices, video modelling and robots as the most common applications for autism therapies. Technology has caused an improvement in autistic children life quality. The development of mobile applications, virtual reality applications and robots have showed a positive impact reflected in the performance of daily activities and a better understanding of how they feel, how to behave, how to express themselves and interact with others. Technology gives the opportunity to monitor children status; and offers adaptability, safety, and accuracy of the information.Comas-González, ZhoeSánchez-Comas, AndrésDe-La-Hoz-Franco, EmiroSynnes, KåreSánchez, Joaquín F.Collazos-Morales, Carlosapplication/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer Sciencehttps://link.springer.com/chapter/10.1007%2F978-3-030-60735-7_19Autism spectrum disorderAutism therapiesTechnology interventionReview of the literatureTechnology Contribution to Improve Autistic Children Life QualityArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionDekhil, O., et al.: Using resting state functional MRI to build a personalized autism diagnosis system. no. Isbi, pp. 1381–1385 (2018)Bekele, E., Wade, J., Bian, D., Fan, J., Swanson, A., Warren, Z.: Multimodal adaptive social interaction in virtual environment (MASI-VR) for children with autism spectrum disorders (ASD). In: 2016 IEEE Virtual Reality (VR), pp. 121–130 (2016)Santamaria, A.F., De Rango, F., Serianni, A., Raimondo, P.: A real IoT device deployment for e-Health applications under lightweight communication protocols, activity classifier and edge data filtering. Comput. Commun. 128, 60–73 (2018)Rodrigues, J.J.P.C., et al.: Enabling technologies for the internet of health things. In: IEEE Access, vol. 6, pp. 13129–13141 (2018)Comas-González, Z., Echeverri-Ocampo, I., Zamora-Musa, R., Velez, J., Sarmiento, R., Orellana, M.: Recent trends in virtual education and its strong connection with the immersive environments [Tendencias recientes de la educación virtual y su fuerte conexión con los entornos inmersivos]. Espacios, vol. 38, no. 15 (2017)Pilotte, M.: Autism spectrum disorder and engineering education—needs and considerations. In: 2016 IEEE Frontiers in Education Conference (FIE) (2016)Uzuegbunam, N., Wong, W.H., Ching, S., Cheung, S., Ruble, L.: MEBook: multimedia social greetings intervention for children with autism spectrum disorders. IEEE Trans. Learn. Technol. XX (January 2016), 1–17 (2017)Beattie, M., Hallberg, J., Nugent, C., Synnes, K., Cleland, I., Lee, S.: A collaborative patient-carer interface for generating home based rules for self-management. In: Bodine, C., Helal, S., Gu, T., Mokhtari, M. (eds.) ICOST 2014. LNCS, vol. 8456, pp. 93–102. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14424-5_10Ahmed, I.U., Hassan, N., Rashid, H.: Solar powered smart wearable health monitoring and tracking device based on GPS and GSM technology for children with autism. In: 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 111–116 (2017)Ogwulu, C.B., Jackson, L.J., Kinghorn, P., Roberts, T.E.: A systematic review of the techniques used to value temporary health states. Value Health 20(8), 1180–1197 (2017)De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J.M., Espinilla, M.: Sensor-based datasets for human activity recognition—a systematic review of literature. IEEE Access 6, 59192–59210 (2018)Comas-González, Z., Simancas-García, J., Rueda Bernal, V., Vélez-Zapata, J., Percia, I.: Redes de sensores inalámbricos para la monitorización de sistemas de calefacción, ventilación y aire acondicionado. Rev. Espac. 39(45), 13 (2018)Bagdadli, S., Gianecchini, M.: Organizational career management practices and objective career success: a systematic review and framework. Hum. Resour. Manag. Rev. (September 2017), 1 (2018)Briscoe, E., Appling, S., Schlosser, J.: Technology futures from passive crowdsourcing. IEEE Trans. Comput. Soc. Syst. 3(1), 23–31 (2016)Zaki, T., Islam, M.N., Uddin, S., Tumpa, S.N., Hossain, J.: Towards developing a learning tool for children with autism. In: 2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology (ICIEV-ISCMHT) (2017)Shi, Y., Das, S., Douglas, S., Biswas, S.: An experimental wearable IoT for data-driven management of autism. In: 2017 9th International Conference on Communication Systems and Networks, COMSNETS 2017, pp. 468–471 (2017)Pasco, G.: The value of early intervention for children with autism. Paediatr. Child Health (Oxford) 28(8), 364–367 (2018)Moreno, J.C., Morales, E.M.S., Seller, E.P.: Case study of the vulnerabilities that children with autism spectrum disorder have in education: the importance of early detection. Procedia Soc. Behav. Sci. 237, 661–666 (2017)Grossard, C., Grynspan, O., Serret, S., Jouen, A.L., Bailly, K., Cohen, D.: Serious games to teach social interactions and emotions to individuals with autism spectrum disorders (ASD). Comput. Educ. 113, 195–211 (2017)Bozgeyikli, L., Raij, A., Katkoori, S., Alqasemi, R.: A survey on virtual reality for individuals with autism spectrum disorder: design considerations. IEEE Trans. Learn. Technol. 11(2), 133–151 (2018)Boyd, L.E., Hayes, G.R.: Wearable assistive technologies for autism opportunities and challenges. IEEE Pervasive Comput. 17, 11–21 (2018)Kumdee, O.: Repetitive motion detection for human behavior understanding from video images. In: 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 484–489 (2015)Zunino, A., et al.: Video gesture analysis for autism spectrum disorder detection. In: 2018 24th International Conference on Pattern Recognition (ICPR), pp. 3421–3426 (2018)Min, C.-H.: Automatic detection and labeling of self-stimulatory behavioral patterns in children with autism spectrum disorder. In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 279–282 (2017)Calandra, D.M. Di Mauro, D., Cutugno, F., Di Martino, S.: Navigating wall-sized displays with the gaze: a proposal for cultural heritage. CEUR Workshop Proceeding, vol. 1621, no. January pp. 36–43 (2016)Seshadri, S.: iPad gives voice to kids with autism. CNN (2012).Al-khalifa, H.S., Alrajhi, W., Alhassan, S., Almotlag, M.: 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) (2018)Technologies, R., Hollosy, W.O.N., Notenboom, T., Banos, O.: A study on the perceptions of autistic adolescents towards mainstream emotion. In: 12th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2018), vol. 10, pp. 1–12 (2018)Adolfo, J., Camargo, C., Augusto, C., Cortés, P., García, P.: Evaluación de las emociones de usuarios en tareas con realimentación háptica utilizado el dispositivo Emotiv Insight Assessment of the users emotions in haptic feedback tasks using the Emotiv Insight device. INGE CUC 15(1), 9–16 (2019)Chandler, D.: Opening new worlds for those with autism: technology is creating great new possibilities for those on every part of the spectrum. IEEE Pulse. 7(4), 43–46 (2016)Akbar, G.S.: User interface (UI) design of scheduling activity apps for autistic children. In: 2017 International Conference on Orange Technologies (ICOT), pp. 129–133 (2017)Kamaruzaman, M.F., Noor, H., Hanapiah, F.A., Halabi, M., Azahari, H.: Efficacy of DTT by using touchscreen learning numeracy app for children with autism. In: 2016 IEEE 8th International Conference on Engineering Education (ICEED), pp. 198–201 (2016)Papathomas, P., Goldschmidt, K.: Utilizing virtual reality and immersion video technology as a focused learning tool for children with autism spectrum disorder. J. Pediatr. Nurs. 35, 8–9 (2017)Didehbani, N., Allen, T., Kandalaft, M., Krawczyk, D., Chapman, S.: Virtual Reality Social Cognition Training for children with high functioning autism. Comput. Hum. Behav. 62, 703–711 (2016)Lamash, L., Klinger, E., Josman, N.: Using a virtual supermarket to promote independent functioning among adolescents with Autism Spectrum Disorder. In: International Conference on Virtual Rehabilitation, ICVR (2017)Bozgeyikli, L., Bozgeyikli, E., Raij, A., Alqasemi, R., Katkoori, S., Dubey, R.: Vocational training with immersive virtual reality for individuals with autism: towards better design practices. In: 2016 IEEE 2nd Workshop on Everyday Virtual Reality, WEVR 2016, pp. 21–25 (2017)Health Tech Digital: Floreo brings autism therapy into the home environment.Munoz, R., Barcelos, T.T.S., Villarroel, R., Silveira, I.F.: Game design workshop to develop computational thinking skills in teenagers with Autism Spectrum Disorders. In: 2016 11th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–4 (2016)Salter, T., Davey, N., Francoise, M.: Designing & developing QueBall, a robotic device for autism therapy Designing & Developing QueBall, A Robotic Device for Autism Therapy. 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