Efficient Speech-Recognition Error-Correction Interface for Japanese Text Entry on Smartwatches

2019 
We propose an efficient speech-recognition error-correction interface for Japanese text entry on smart-watches. Although the accuracy of automatic speech recognition (ASR) has significantly improved, an interface for text modification is still essential. Considering the strict limitation of a narrow display area and practical demand of text modification, the proposed interface arranges the N-best results of ASR and a list of morphemes consisting of the 1-best result to enable quick access to any word to be modified. Specifically, multiple screens of the N-best results are switched by horizontal flicks, and another extended screen listing a morpheme sequence of the 1-best result is scrolled by vertical flicks. The proposed interface was compared with a software keyboard and a speech-input-enabled input method editor (IME), which was a simple combination of speech input and software keyboard. The proposed interface outperformed the other two interfaces in terms of time required to complete specified sentences, subjective score using system usability scale (SUS), and perceived workload quantified using the NASA Task Load Index (NASA-TLX).
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