Gaze-Assisted Typing for Smart glasses

Eye Tracking & Gaze InteractionVoice User Interface (VUI) DesignSoftware Engineers & DevelopersHCI Researchers

Text entry is expected to be a common task for smart glasses users. Using a touchpad on the temple is a common approach, and using eye tracking is a promising approach. However, each approach has its own limitations. For more efficient text entry, we present Gaze-Assisted Typing (GAT), which uses both a touchpad and eye tracking. We first examined a GAT with a minimal eye input load, and could show the GAT (8.87 wpm) was 51% faster than a two-step touch input typing method (M-SwipeBoard: 5.85 wpm). We also compared GATs with varying numbers of touch gestures. The results show that a GAT requiring five different touch gestures was most preferred, while all GATs were equally efficient. Finally, we compared GAT with touch-only typing (SwipeZone) and eye-only typing (adjustable dwell) using an eye track-able HWD. The results show GAT (11.04 wpm) was 25.4% faster than the eye-only typing (8.81 wpm), was 29.4% faster than the touch-only typing (8.53 wpm), and was the most preferred.

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https://hci.top/en/papers/uist/2842/2019

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UIST
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Year
2019
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2 authors
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Subtopics
Eye Tracking & Gaze Interaction, Voice User Interface (VUI) Design
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Software Engineers & Developers, HCI Researchers
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Abstract only
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