Ability-Based Methods for Personalized Keyboard Generation

This study introduces an ability-based method for personalized keyboard generation, wherein an individual’s own movement and human–computer interaction data are used to automatically compute a personalized virtual keyboard layout. Our approach integrates a multidirectional point-select task to chara...

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Bibliographic Details
Published inMultimodal technologies and interaction Vol. 6; no. 8; p. 67
Main Authors Mitchell, Claire L., Cler, Gabriel J., Fager, Susan K., Contessa, Paola, Roy, Serge H., De Luca, Gianluca, Kline, Joshua C., Vojtech, Jennifer M.
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.08.2022
Subjects
ability-based design
acceleration
alternative input device
assistive technology
Automation
Cerebral palsy
Communication
Customization
Human motion
human–computer interaction
Inertial sensing devices
Interactive computer systems
Interfaces
Keyboards
Layouts
Methods
Optimization
Personal computers
Principles
surface electromyography
acceleration
hands-free mouse
surface electromyography
human–computer interaction
alternative input device
assistive technology
keyboard replacement
ability-based design
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ISSN2414-4088
2414-4088
DOI10.3390/mti6080067

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Summary:This study introduces an ability-based method for personalized keyboard generation, wherein an individual’s own movement and human–computer interaction data are used to automatically compute a personalized virtual keyboard layout. Our approach integrates a multidirectional point-select task to characterize cursor control over time, distance, and direction. The characterization is automatically employed to develop a computationally efficient keyboard layout that prioritizes each user’s movement abilities through capturing directional constraints and preferences. We evaluated our approach in a study involving 16 participants using inertial sensing and facial electromyography as an access method, resulting in significantly increased communication rates using the personalized keyboard (52.0 bits/min) when compared to a generically optimized keyboard (47.9 bits/min). Our results demonstrate the ability to effectively characterize an individual’s movement abilities to design a personalized keyboard for improved communication. This work underscores the importance of integrating a user’s motor abilities when designing virtual interfaces.
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Author Contributions: Conceptualization, C.L.M., G.J.C., S.K.F., J.C.K. and J.M.V.; methodology, C.L.M., J.C.K. and J.M.V.; software, C.L.M.; validation, C.L.M. and J.M.V.; formal analysis, C.L.M. and J.M.V.; investigation, C.L.M. and J.M.V.; resources, G.J.C., S.K.F., P.C., S.H.R., G.D.L., J.C.K. and J.M.V.; data curation, C.L.M. and J.M.V.; writing—original draft preparation, C.L.M.; writing—review and editing, C.L.M., G.J.C., S.K.F., P.C., S.H.R., G.D.L., J.C.K. and J.M.V.; visualization, C.L.M.; supervision, J.C.K. and J.M.V.; project administration, J.M.V.; funding acquisition, P.C. and J.M.V. All authors have read and agreed to the published version of the manuscript.
ISSN:2414-4088
2414-4088
DOI:10.3390/mti6080067