ScriptFree: Designing Speech Preparation Systems with Adaptive Visual Reliance Control on Script

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Manuscript speech is a common type of speech in various official events. However, we often observe that many speakers simply read the script without making eye contact, thereby lowering audience engagement. Practice with proper tools could benefit a speaker considerably. In this work, we iteratively designed ScriptFree, an adaptive speech practice environment where off-the-shelf automatic speech recognition (ASR) is leveraged to measure a speaker's preparation level, and accordingly, the script is adaptively compressed to reduce the speaker's visual reliance toward script mastery. The user study results confirmed that ScriptFree helped the participants to success- fully improve their speech over multiple practice iterations. The results have significant design implications for building adaptive speech practice systems.
Publisher
Association for Computing Machinery (ACM)
Issue Date
2020-04-25
Language
English
Citation

2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020

DOI
10.1145/3334480.3382896
URI
http://hdl.handle.net/10203/277273
Appears in Collection
CS-Conference Papers(학술회의논문)
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