Commanding and re-dictation: Developing eyes-free voice-based interaction for editing dictated text

Existing voice-based interfaces have limited support for text editing, especially when seeing the text is difficult, e.g., while walking or cooking. This research develops voice interaction techniques for eyes-free text editing. First, with a Wizard-of-Oz study, we identified two primary user strate...

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Main Authors: GHOSH, Debjyoti, LIU, Can, ZHAO, Shengdong, HARA, Kotaro
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2020
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/5889
https://ink.library.smu.edu.sg/context/sis_research/article/6880/viewcontent/Ghosh_CommandingAndRe_dictationDevelopingEyes_freeVoice_basedInteractionForEditingDictatedText_TOCHI2020.pdf
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機構: Singapore Management University
語言: English
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總結:Existing voice-based interfaces have limited support for text editing, especially when seeing the text is difficult, e.g., while walking or cooking. This research develops voice interaction techniques for eyes-free text editing. First, with a Wizard-of-Oz study, we identified two primary user strategies: using commands, e.g., “replace go with goes” and re-dictating over an erroneous portion, e.g., correcting “he go there” by saying “he goes there.” To support these user strategies with an actual system implementation, we developed two eyes-free voice interaction techniques, Commanding and Re-dictation, and evaluated them with a controlled experiment. Results showed that while Re-dictation performs significantly better for more semantically complex edits, Commanding is more suitable for making one-word edits, especially deletions. We developed VoiceRev to combine both the techniques in the same interface and evaluated it with realistic tasks. Results showed improved usability of the combined techniques over either of the two techniques used individually.