向带有口音的虚拟人学习:语音质量和全球化能否克服口音熟悉度?

Robert F. Siegle, Jodi L. Puchalski, Scotty D. Craig
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引用次数: 0

摘要

本研究的数据来自一项大型研究的一部分,该研究调查了口音对学习效果和对教师看法的影响。研究采用 2 x 2 主体间因子设计,研究了虚拟人说话时的声音类型(人类、合成)和口音(英语、俄语)及其影响。以往的研究一直表明,教师的口音会影响学习效果、对教师的看法以及对学习材料的看法。然而,目前的研究结果与过去的研究结果相冲突,在口音条件下没有发现任何影响,口音熟悉程度也没有显著影响。本研究的重点将放在口音熟悉程度的研究结果上,这将表明有必要进一步研究口音对学习和认知的影响,以及日益全球化和语音质量如何影响这些结果。
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Learning from accented virtual humans: Can quality of voice and globalization overcome accent familiarity?
The current study’s data is from a select portion of a larger study, which investigated the impact accents have on learning outcomes and perceptions of the instructor. A 2 x 2 between-subjects factorial design was conducted on the type of voice (human, synthetic) and the accent of the voice (English, Russian), and their impacts when being spoken by a virtual human. Previous research has consistently shown that instructor accents can impact learning outcomes, perceptions of the instructor, and perceptions of the learning materials. However, the current study’s results conflict with these past findings, with no effects found for the accent condition and accent familiarity having no significant impact. This study’s focus will be on the accent familiarity findings, which will demonstrate the need for further research on the impact accents have on learning, perceptions, and how increasing globalization and quality of voice may influence these outcomes.
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