• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

为自闭症谱系中的非言语儿童设计聊天机器人。

Designing a Chat-Bot for Non-Verbal Children on the Autism Spectrum.

作者信息

Cooper Anabelle, Ireland David

机构信息

The Australian E-Health Research Centre, CSIRO, Australia.

出版信息

Stud Health Technol Inform. 2018;252:63-68.

PMID:30040684
Abstract

There is a significant amount of anecdotal evidence of the benefits of individuals on the autism spectrum interacting with technology via natural language. Many of these individuals are non-verbal but still able to communicate via augmentative and alternative communication (AAC) aids. This paper presents the design of a AAC software program (app) with embedded artificial conversational agent, called Alex. Alex runs on a Android device and is able to engage with the user on a variety of topics using symbols and images. Alex may be programmed via speech and occupational therapists and other key stakeholders via speech and hence does not require any specialised computer skills. The importance of customisation, interoperability, personalisation and motor skill considerations is herein discussed.

摘要

有大量轶事证据表明,自闭症谱系中的个体通过自然语言与技术互动能带来诸多益处。这些个体中有许多无法言语,但仍能通过辅助和替代沟通(AAC)工具进行交流。本文介绍了一款名为Alex的、嵌入人工对话代理的AAC软件程序(应用程序)的设计。Alex运行于安卓设备上,能够使用符号和图像就各种主题与用户互动。Alex可以由言语治疗师、职业治疗师及其他关键利益相关者通过语音进行编程,因此不需要任何专业计算机技能。本文还讨论了定制化、互操作性、个性化以及运动技能考量的重要性。

相似文献

1
Designing a Chat-Bot for Non-Verbal Children on the Autism Spectrum.为自闭症谱系中的非言语儿童设计聊天机器人。
Stud Health Technol Inform. 2018;252:63-68.
2
Designing augmentative and alternative communication applications: the results of focus groups with speech-language pathologists and parents of children with autism spectrum disorder.设计辅助与替代沟通应用程序:与言语语言病理学家及自闭症谱系障碍儿童家长焦点小组讨论的结果
Disabil Rehabil Assist Technol. 2018 May;13(4):353-365. doi: 10.1080/17483107.2017.1324526. Epub 2017 May 10.
3
Designing AAC systems for children with autism: evidence from eye tracking research.为自闭症儿童设计辅助沟通系统:来自眼动追踪研究的证据
Augment Altern Commun. 2014 Jun;30(2):160-71. doi: 10.3109/07434618.2014.905635. Epub 2014 Apr 30.
4
Generalization of a pictorial alternative communication system across instructors and distance.一种图形化替代交流系统在不同指导教师和不同距离间的推广。
Augment Altern Commun. 2008;24(2):89-99. doi: 10.1080/07434610802113289.
5
Development and evaluation of a speech-generating AAC mobile app for minimally verbal children with autism spectrum disorder in Mainland China.为中国大陆地区患有自闭症谱系障碍的极重度言语障碍儿童开发和评估一款言语生成型辅助沟通手机应用程序。
Mol Autism. 2017 Oct 3;8:52. doi: 10.1186/s13229-017-0165-5. eCollection 2017.
6
The Relationship Between Operational Competency, Buy-In, and Augmentative and Alternative Communication Use in School-Age Children With Autism.自闭症儿童在校操作性能力、接受度与辅助沟通使用的关系。
Am J Speech Lang Pathol. 2019 May 27;28(2):469-484. doi: 10.1044/2018_AJSLP-17-0175. Epub 2019 Mar 11.
7
A back door approach to autism and AAC.一种针对自闭症和辅助沟通的间接方法。
Augment Altern Commun. 2008;24(3):220-34. doi: 10.1080/08990220802388263.
8
Within arm's reach: The role of proximity in speech generating device use of ambulatory children with autism.近在手边:距离对自闭症门诊儿童使用言语生成设备的影响
Int J Speech Lang Pathol. 2022 Feb;24(1):88-96. doi: 10.1080/17549507.2021.1961861. Epub 2021 Aug 17.
9
Translucency ratings of Blissymbols over repeated exposures by children with autism.自闭症儿童反复接触 Blissymbols 的透光率评估。
Augment Altern Commun. 2013 Sep;29(3):272-83. doi: 10.3109/07434618.2013.813967. Epub 2013 Jul 31.
10
Development and evaluation of a mobile AAC: a virtual therapist and speech assistant for people with communication disabilities.一款移动辅助沟通设备的开发与评估:面向沟通障碍者的虚拟治疗师与语音助手
Disabil Rehabil Assist Technol. 2018 Nov;13(8):731-739. doi: 10.1080/17483107.2017.1369592. Epub 2017 Sep 26.

引用本文的文献

1
Breaking Barriers-The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review.突破障碍——人工智能与自闭症护理辅助技术的交叉融合:一篇叙述性综述
J Pers Med. 2023 Dec 28;14(1):41. doi: 10.3390/jpm14010041.
2
Acceptability of a Pain History Assessment and Education Chatbot (Dolores) Across Age Groups in Populations With Chronic Pain: Development and Pilot Testing.慢性疼痛人群中疼痛病史评估与教育聊天机器人(多洛雷斯)在各年龄组的可接受性:开发与试点测试
JMIR Form Res. 2023 Oct 6;7:e47267. doi: 10.2196/47267.
3
Reinventing mental health care in youth through mobile approaches: Current status and future steps.
通过移动方式重塑青少年心理健康护理:现状与未来举措
Front Psychol. 2023 Mar 9;14:1126015. doi: 10.3389/fpsyg.2023.1126015. eCollection 2023.
4
Finding the sweet spot: a qualitative study exploring patients' acceptability of chatbots in genetic service delivery.找到最佳平衡点:一项探索患者对遗传服务中使用聊天机器人可接受性的定性研究。
Hum Genet. 2023 Mar;142(3):321-330. doi: 10.1007/s00439-022-02512-2. Epub 2023 Jan 11.
5
Language Use in Conversational Agent-Based Health Communication: Systematic Review.基于对话代理的健康传播中的语言使用:系统评价。
J Med Internet Res. 2022 Jul 8;24(7):e37403. doi: 10.2196/37403.
6
Natural Language Processing: from Bedside to Everywhere.自然语言处理:从床边到无处不在。
Yearb Med Inform. 2022 Aug;31(1):243-253. doi: 10.1055/s-0042-1742510. Epub 2022 Jun 2.
7
Conversational Agents in Health Care: Scoping Review and Conceptual Analysis.医疗保健中的会话代理:范围综述和概念分析。
J Med Internet Res. 2020 Aug 7;22(8):e17158. doi: 10.2196/17158.