Smart Predict: adding partner-suggested vocabulary to increase efficiency in a dual tablet AAC typing application.

IF 2.1 3区 医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Melanie Fried-Oken, Michelle A Kinsella, Erik Jakobs, Tom Jakobs, Aimee Mooney, Betts Peters, Rebecca Pryor, Scott Spaulding
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Abstract

Smart Predict is a novel two-tablet application developed to improve conversational efficiency for people who use augmentative and alternative communication (AAC) devices. The Smart Predict system consists of two distinct applications that were built for use with two Android tablets and/or phones with Bluetooth® capability. One application is referred to as the AAC User app and the second application is called the Partner app. Smart Predict integrates vocabulary supplementation from communication partners in real-time while persons who rely on AAC generate text and maintain full control to choose words within a word prediction line. Using single-case research designs with adapted alternating treatments under two counterbalanced treatment conditions (AAC User app alone versus AAC User app + Partner app), we examined message efficiency with persons who rely on switch scanning for on-screen keyboards. User experience questionnaires were administered to determine satisfaction and workload, and to provide feedback for future development efforts. Three adults with complex communication needs and motor impairments conversed with research staff about fourteen movie trailers. Characters per minute and switch selections per character produced by the person with complex communication needs and motor impairments were measured during 15-minute interviews to represent communication speed and effort. Results indicate that message efficiency increased with the dual-tablet Smart Predict, indicating faster message generation with the vocabulary supplementation system. User satisfaction increased and perceived effort decreased under the Smart Predict conditions. Given these results within a research and development framework, the Smart Predict concept is a viable feature that could be considered within smart AAC technologies.

智能预测:在双平板电脑 AAC 键入应用程序中添加伙伴建议的词汇,以提高效率。
Smart Predict 是一款新颖的双平板电脑应用程序,旨在提高使用辅助和替代性交流(AAC)设备的人的对话效率。Smart Predict 系统由两个不同的应用程序组成,分别与两台安卓平板电脑和/或具有蓝牙功能的手机配合使用。其中一个应用程序称为 AAC 用户应用程序,第二个应用程序称为合作伙伴应用程序。智能预测 "实时整合了来自交流伙伴的词汇补充,而依靠全英语会话辅助工具的人则可以生成文本,并完全控制在单词预测行内选择单词。我们采用单例研究设计,在两种平衡处理条件(单独使用 AAC 用户应用程序与使用 AAC 用户应用程序 + 合作伙伴应用程序)下进行适应性交替处理,考察了依赖屏幕键盘切换扫描的人的信息效率。我们还进行了用户体验问卷调查,以确定满意度和工作量,并为未来的开发工作提供反馈。三位有复杂交流需求和运动障碍的成年人与研究人员就 14 部电影预告片进行了交谈。在 15 分钟的访谈中,对有复杂交流需求和运动障碍的人每分钟的字符数和每个字符的切换选择进行了测量,以反映交流速度和工作量。结果表明,双平板智能预测系统提高了信息效率,表明词汇补充系统提高了信息生成速度。在 Smart Predict 的条件下,用户满意度提高,感知到的努力程度降低。鉴于这些研究和开发框架内的结果,智能预测概念是一种可行的功能,可以考虑将其应用于智能辅助交流技术中。
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来源期刊
Augmentative and Alternative Communication
Augmentative and Alternative Communication AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-
CiteScore
2.80
自引率
15.00%
发文量
25
审稿时长
>12 weeks
期刊介绍: As the official journal of the International Society for Augmentative and Alternative Communication (ISAAC), Augmentative and Alternative Communication (AAC) publishes scientific articles related to the field of augmentative and alternative communication (AAC) that report research concerning assessment, treatment, rehabilitation, and education of people who use or have the potential to use AAC systems; or that discuss theory, technology, and systems development relevant to AAC. The broad range of topic included in the Journal reflects the development of this field internationally. Manuscripts submitted to AAC should fall within one of the following categories, AND MUST COMPLY with associated page maximums listed on page 3 of the Manuscript Preparation Guide. Research articles (full peer review), These manuscripts report the results of original empirical research, including studies using qualitative and quantitative methodologies, with both group and single-case experimental research designs (e.g, Binger et al., 2008; Petroi et al., 2014). Technical, research, and intervention notes (full peer review): These are brief manuscripts that address methodological, statistical, technical, or clinical issues or innovations that are of relevance to the AAC community and are designed to bring the research community’s attention to areas that have been minimally or poorly researched in the past (e.g., research note: Thunberg et al., 2016; intervention notes: Laubscher et al., 2019).
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