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Ability-based Keyboards for Augmentative and Alternative Communication: Understanding How Individuals’ Movement Patterns Translate to More Efficient Keyboards

Claire L. Mitchell, Gabriel J. Cler, Susan Fager, Paola Contessa, Serge H. Roy, Gianluca De Luca, Joshua C. Kline, Jennifer M. Vojtech

2022CHI Conference on Human Factors in Computing Systems Extended Abstracts10 citationsDOIOpen Access PDF

Abstract

This study presents the evaluation of ability-based methods extended to keyboard generation for alternative communication in people with dexterity impairments due to motor disabilities. Our approach characterizes user-specific cursor control abilities from a multidirectional point-select task to configure letters on a virtual keyboard based on estimated time, distance, and direction of movement. These methods were evaluated in three individuals with motor disabilities against a generically optimized keyboard and the ubiquitous QWERTY keyboard. We highlight key observations relating to the heterogeneity of the manifestation of motor disabilities, perceived importance of communication technology, and quantitative improvements in communication performance when characterizing an individual's movement abilities to design personalized AAC interfaces.

Topics & Concepts

Cursor (databases)Human–computer interactionComputer scienceAugmentative and alternative communicationVirtual keyboardMovement (music)Task (project management)AugmentativeFitts's lawPoint (geometry)Text entryAssistive technologyKey (lock)Artificial intelligencePsychologyEngineeringComputer hardwareComputer securityPhilosophyMathematicsSystems engineeringLinguisticsAestheticsGeometryPsychiatryTactile and Sensory InteractionsGaze Tracking and Assistive TechnologyAssistive Technology in Communication and Mobility
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