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- W4289731690 abstract "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." @default.
- W4289731690 created "2022-08-04" @default.
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- W4289731690 date "2022-08-03" @default.
- W4289731690 modified "2023-10-14" @default.
- W4289731690 title "Ability-Based Methods for Personalized Keyboard Generation" @default.
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- W4289731690 doi "https://doi.org/10.3390/mti6080067" @default.
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