Leveraging Error Correction in Voice-based Text Entry by Talk-and-Gaze

Hand Gesture RecognitionEye Tracking & Gaze Interaction

We present the design and evaluation of Talk-and-Gaze (TaG), a method for selecting and correcting errors with voice and gaze. TaG uses eye gaze to overcome the inability of voice-only systems to provide spatial information. The user's point of gaze is used to select an erroneous word either by dwelling on the word for 800 ms (D-TaG) or by uttering a "select" voice command (V-TaG). A user study with 12 participants compared D-TaG, V-TaG, and a voice-only method for selecting and correcting words. Corrections were performed more than 20% faster with D-TaG compared to the V-TaG or voice-only methods. As well, D-TaG was observed to require 24% less selection effort than V-TaG and 11% less selection effort than voice-only error correction. D-TaG was well received in a subjective assessment with 66% of users choosing it as their preferred choice for error correction in voice-based text entry.

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https://hci.top/en/papers/chi/31782/2020

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DOI: https://doi.org/10.1145/3313831.3376579
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CHI
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2020
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5 authors
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Hand Gesture Recognition, Eye Tracking & Gaze Interaction
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