GestureMark
Shortcut Input Technique using Smartwatch Touch Gestures for XR Glasses
Abstract: We propose GestureMark, a novel input technique for target selection on XR glasses using smartwatch touch gestures as input. As XR glasses get smaller and lighter, their usage increases rapidly, leading to a higher demand for efficient shortcuts for everyday life. We explored the uses of gesture input on smartwatch touchscreen, including simple swipe, swipe combinations, and bezel-to-bezel (B2B) gesture as an input modality. Through an experiment with 16 participants, we found that while swipe gestures were efficient for four-choice selections, B2B was superior for 16-choice inputs. Feedback mechanisms did not enhance performance but reduced perceived workload. Our findings highlight the potential of integrating smartwatches as secondary input devices for XR glasses.
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