In this paper, we describe an exploratory study to determine the feasibility of using a low-cost gestural headset to support communication. Findings have shown tasks involving facial gestures, such as blinks and smiles, can be performed and detected by an Augmented and Alternative Communication (AAC) system within a shorter period of time compared to brow movements. As tasks increase in complexity, rates of accuracy and time taken remain relatively constant for blinking gestures, highlighting their potential in AAC interfaces. We aim to refine such a system to better address the needs of individuals with disabilities, by limiting input errors from involuntary movements and examining ways to reduce interface navigation time. Insights gained from the study offer promise to interface designers seeking to widen access to their interfaces using gestural input.
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