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Autores principales: Liu, Can, Hu, Siying, Feng, Li, Fan, Mingming
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2403.05785
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author Liu, Can
Hu, Siying
Feng, Li
Fan, Mingming
author_facet Liu, Can
Hu, Siying
Feng, Li
Fan, Mingming
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2403_05785
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Typist Experiment: an Investigation of Human-to-Human Dictation via Role-play to Inform Voice-based Text Authoring
Liu, Can
Hu, Siying
Feng, Li
Fan, Mingming
Human-Computer Interaction
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.
title Typist Experiment: an Investigation of Human-to-Human Dictation via Role-play to Inform Voice-based Text Authoring
topic Human-Computer Interaction
url https://arxiv.org/abs/2403.05785