Ecological Design of an Augmentative and Alternative Communication Device Interface

IF 2.2 Q3 ENGINEERING, INDUSTRIAL Journal of Cognitive Engineering and Decision Making Pub Date : 2021-07-06 DOI:10.1177/15553434211029530
Kaela Shea, O. St-Cyr, T. Chau
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引用次数: 1

Abstract

Autism spectrum disorder, cerebral palsy, brain stem stroke, and neurological injury are examples of conditions that may limit vocal communication. Augmentative and alternative communication (AAC) systems can provide a communication pathway to users who experience such complex communication needs, facilitating their societal participation and supporting some ability to direct their own care. We adapted the cognitive work analysis (CWA) framework to a linguistic domain for insights into an AAC design that best supports users’ communication. First, we applied the work domain analysis (WDA) to a popular commercial AAC system, Proloquo2Go. Data were gathered from guided AAC system use, domain experts, and the syntactic rules of the English language. The WDA exposed unmet needs in the commercial system. We then applied worker competency analysis to consider different approaches to present information and support user actions. The design included graphic forms and process views, and their integration into viewports and the workspace. Our novel application of CWA uncovered new considerations in AAC interface design and presents a nascent area of investigation, namely, AAC displays that more effectively support users’ goals. Future investigation will evaluate the mental workload of this AAC interface compared to that of current commercially available systems.
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一种增强和替代通信设备接口的生态设计
自闭症谱系障碍、脑瘫、脑干中风和神经损伤都是可能限制声音交流的情况。辅助和替代沟通(AAC)系统可以为经历这种复杂沟通需求的用户提供沟通途径,促进他们的社会参与并支持他们指导自己护理的一些能力。我们将认知工作分析(CWA)框架应用于语言领域,以深入了解最能支持用户交流的AAC设计。首先,我们将工作域分析(WDA)应用于一个流行的商业AAC系统Proloquo2Go。数据收集自指导的AAC系统使用、领域专家和英语语法规则。WDA暴露了商业系统中未满足的需求。然后,我们应用工人能力分析来考虑不同的方法来呈现信息和支持用户操作。该设计包括图形表单和过程视图,以及它们与视图和工作区的集成。我们对CWA的新应用揭示了AAC界面设计的新考虑,并提出了一个新兴的研究领域,即AAC显示更有效地支持用户的目标。未来的研究将评估该AAC接口与当前商用系统的心理工作量。
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来源期刊
CiteScore
4.60
自引率
10.00%
发文量
21
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