Typist Experiment: an Investigation of Human-to-Human Dictation via Role-play to Inform Voice-based Text Authoring
Proc. ACM Hum. Comput. Interact.(2024)
摘要
Voice dictation is increasingly used for text entry, especially in mobile
scenarios. However, the speech-based experience gets disrupted when users must
go back to a screen and keyboard to review and edit the text. While existing
dictation systems focus on improving transcription and error correction, little
is known about how to support speech input for the entire text creation
process, including composition, reviewing and editing. We conducted an
experiment in which ten pairs of participants took on the roles of authors and
typists to work on a text authoring task. By analysing the natural language
patterns of both authors and typists, we identified new challenges and
opportunities for the design of future dictation interfaces, including the
ambiguity of human dictation, the differences between audio-only and with
screen, and various passive and active assistance that can potentially be
provided by future systems.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要