This paper explores AI-assisted peripheral management techniques that improve traditional input methods through modular and linear layouts combined with voice-based support. Modular and linear approaches let users construct macros with temporal logic, enabling faster setup and more intuitive execution. Voice models extend accessibility by allowing disabled users to configure and later trigger complex key combinations through simplified inputs.
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Wang et al. (2025) studied this question.
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