Smart Predict: adding partner-suggested vocabulary to increase efficiency in a dual tablet AAC typing application.
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 wi...
| Publicado en: | AAC: Augmentative & Alternative Communication Vol. 41; no. 4; pp. 395 - 407 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Dec2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=189849872&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 189849872 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 07434618 9OD jtl: AAC: Augmentative & Alternative Communication issn: 07434618 maglogo: Y pubinfo: dt: Dec2025 vid: 41 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 189849872 10.1080/07434618.2024.2374314 ppf: 395 ppct: 12 formats: tig: atl: Smart Predict: adding partner-suggested vocabulary to increase efficiency in a dual tablet AAC typing application. aug: au: Fried-Oken, Melanie Kinsella, Michelle A. Jakobs, Erik Jakobs, Tom Mooney, Aimee Peters, Betts Pryor, Rebecca Spaulding, Scott affil: Institute on Development and Disability, Oregon Health & Science University, Portland, Oregon Invotek, Inc, Alma, Arkansas College of Education, University of Washington, Seattle, Washington su: Mobile apps Facilitated communication Portable computers Research funding Interviewing Questionnaires Keyboards (Electronics) Prediction algorithms Communication Research methodology Vocabulary Text messages Case studies User interfaces Customer satisfaction Employees' workload sug: subj: Mobile apps Facilitated communication Portable computers Research funding Interviewing Questionnaires Keyboards (Electronics) Prediction algorithms Communication Research methodology Vocabulary Text messages Case studies User interfaces Customer satisfaction Employees' workload keyword: Augmentative and alternative communication (AAC) message efficiency mobile technology single case research design vocabulary supplementation word prediction ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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