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

• Published in: Augmentative and alternative communication p. 1
• Main Authors: Fried-Oken, Melanie, Kinsella, Michelle A, Jakobs, Erik, Jakobs, Tom, Mooney, Aimee, Peters, Betts, Pryor, Rebecca, Spaulding, Scott
• Format: Journal Article
• Language: English
• Published: England 20-08-2024
• Subjects: vocabulary supplementation; mobile technology; single case research design; message efficiency; Augmentative and alternative communication (AAC); word prediction
• ISSN: 1477-3848; 1477-3848
• DOI: 10.1080/07434618.2024.2374314

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.