Melanie Fried-Oken, Michelle A Kinsella, Erik Jakobs, Tom Jakobs, Aimee Mooney, Betts Peters, Rebecca Pryor, Scott Spaulding
{"title":"Smart Predict: adding partner-suggested vocabulary to increase efficiency in a dual tablet AAC typing application.","authors":"Melanie Fried-Oken, Michelle A Kinsella, Erik Jakobs, Tom Jakobs, Aimee Mooney, Betts Peters, Rebecca Pryor, Scott Spaulding","doi":"10.1080/07434618.2024.2374314","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>®</sup> 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.</p>","PeriodicalId":49234,"journal":{"name":"Augmentative and Alternative Communication","volume":" ","pages":"1-12"},"PeriodicalIF":2.1000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Augmentative and Alternative Communication","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/07434618.2024.2374314","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
引用次数: 0
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.
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).