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Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China
BACKGROUND: Mobile touchscreen devices are currently being used as speech-generating devices (SGDs) and have been shown to promote the communication skills, particularly the requesting skills of children with autism spectrum disorders (ASD) who have limited spoken language. However, no augmentative...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627471/ https://www.ncbi.nlm.nih.gov/pubmed/29026509 http://dx.doi.org/10.1186/s13229-017-0165-5 |
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author | An, Sainan Feng, Xiaoping Dai, Yue Bo, Hongli Wang, Xiuqing Li, Mu Woo, John Zhuohao Liang, Xingmei Guo, Cheng Liu, Charles Xingchao Wei, Liping |
author_facet | An, Sainan Feng, Xiaoping Dai, Yue Bo, Hongli Wang, Xiuqing Li, Mu Woo, John Zhuohao Liang, Xingmei Guo, Cheng Liu, Charles Xingchao Wei, Liping |
author_sort | An, Sainan |
collection | PubMed |
description | BACKGROUND: Mobile touchscreen devices are currently being used as speech-generating devices (SGDs) and have been shown to promote the communication skills, particularly the requesting skills of children with autism spectrum disorders (ASD) who have limited spoken language. However, no augmentative and alternative communication (AAC) mobile app has been developed and evaluated in the Chinese language in Mainland China. METHODS: We developed an AAC mobile app, which is the first in Mainland China, to our knowledge, named Yuudee (Chinese name 小雨滴 (xiaoyudi)). Yuudee was developed using the Objective-C and Java programming languages. A five-phase training protocol for making requests using Yuudee was developed based on the Picture Exchange Communication System. We trained ten minimally verbal children with ASD to make requests using Yuudee and evaluated the effectiveness of the training. RESULTS: Yuudee has a built-in library of over 400 pictures with corresponding spoken phrases that are divided into 39 categories ranging from making simple requests to expressing emotions. An additional important feature of Yuudee is its customization functions that allow a parent or trainer to easily select pictures and phrases to display, create new pictures and phrases, and change the layouts and orders of the pictures to fit the personal needs of each child. Yuudee is freely available in an iOS version from the iTunes App Store (https://itunes.apple.com/cn/app/xiao-yu-di/id794832934?mt=8) and in an Android version from Google Play (https://play.google.com/store/apps/details?id=com.supersuperstar.yuudee.vue) and domestic Chinese Android App stores. Three consecutive unprompted successful responses, which were defined as an initial training success, were achieved in at least three of the five phases for all ten of the evaluated children. The accuracy rate of a given phase was calculated for each child who achieved three consecutive unprompted successful responses in the phase. Seven children achieved at least 50% accuracy in at least two of the five phases. The other three children achieved at least 50% accuracy in only one phase. Two children achieved at least 50% accuracy in all of the phases in which they were trained. CONCLUSIONS: Our data suggest that Yuudee is a useful tool for helping minimally verbal children with ASD make requests. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-017-0165-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5627471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56274712017-10-12 Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China An, Sainan Feng, Xiaoping Dai, Yue Bo, Hongli Wang, Xiuqing Li, Mu Woo, John Zhuohao Liang, Xingmei Guo, Cheng Liu, Charles Xingchao Wei, Liping Mol Autism Research BACKGROUND: Mobile touchscreen devices are currently being used as speech-generating devices (SGDs) and have been shown to promote the communication skills, particularly the requesting skills of children with autism spectrum disorders (ASD) who have limited spoken language. However, no augmentative and alternative communication (AAC) mobile app has been developed and evaluated in the Chinese language in Mainland China. METHODS: We developed an AAC mobile app, which is the first in Mainland China, to our knowledge, named Yuudee (Chinese name 小雨滴 (xiaoyudi)). Yuudee was developed using the Objective-C and Java programming languages. A five-phase training protocol for making requests using Yuudee was developed based on the Picture Exchange Communication System. We trained ten minimally verbal children with ASD to make requests using Yuudee and evaluated the effectiveness of the training. RESULTS: Yuudee has a built-in library of over 400 pictures with corresponding spoken phrases that are divided into 39 categories ranging from making simple requests to expressing emotions. An additional important feature of Yuudee is its customization functions that allow a parent or trainer to easily select pictures and phrases to display, create new pictures and phrases, and change the layouts and orders of the pictures to fit the personal needs of each child. Yuudee is freely available in an iOS version from the iTunes App Store (https://itunes.apple.com/cn/app/xiao-yu-di/id794832934?mt=8) and in an Android version from Google Play (https://play.google.com/store/apps/details?id=com.supersuperstar.yuudee.vue) and domestic Chinese Android App stores. Three consecutive unprompted successful responses, which were defined as an initial training success, were achieved in at least three of the five phases for all ten of the evaluated children. The accuracy rate of a given phase was calculated for each child who achieved three consecutive unprompted successful responses in the phase. Seven children achieved at least 50% accuracy in at least two of the five phases. The other three children achieved at least 50% accuracy in only one phase. Two children achieved at least 50% accuracy in all of the phases in which they were trained. CONCLUSIONS: Our data suggest that Yuudee is a useful tool for helping minimally verbal children with ASD make requests. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-017-0165-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-03 /pmc/articles/PMC5627471/ /pubmed/29026509 http://dx.doi.org/10.1186/s13229-017-0165-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research An, Sainan Feng, Xiaoping Dai, Yue Bo, Hongli Wang, Xiuqing Li, Mu Woo, John Zhuohao Liang, Xingmei Guo, Cheng Liu, Charles Xingchao Wei, Liping Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China |
title | Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China |
title_full | Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China |
title_fullStr | Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China |
title_full_unstemmed | Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China |
title_short | Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China |
title_sort | development and evaluation of a speech-generating aac mobile app for minimally verbal children with autism spectrum disorder in mainland china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627471/ https://www.ncbi.nlm.nih.gov/pubmed/29026509 http://dx.doi.org/10.1186/s13229-017-0165-5 |
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