儿童和成年人产生不同的技术和人类指导的语音
Michelle Cohn1, Santiago Barreda2, Katharine Graf Estes3
1Phonetics Laboratory, Department of Linguistics, University of California, Davis, Davis, USA. mdcohn@ucdavis.edu.
Scientific reports
|July 6, 2024
概括
成人和儿童在像亚马逊Alexa这样的智能扬声器上更努力地说话,儿童会显著提高他们的音调,特别是在错误之后. 这凸显了感知系统能力,而不仅仅是人形,如何影响语音适应.
科学领域:
- 心理语言学 心理语言学
- 人与计算机的交互
- 语音制作 语音制作
背景情况:
- 了解人类如何适应非人类代理人的语言对于有效的人与计算机交互至关重要.
- 之前的研究表明,在与技术互动时,人类形态主义的不同程度存在.
- 年龄对智能扬声器语音适应的影响仍未得到充分研究.
研究的目的:
- 为了比较成人和儿童在与真实人互动时的语音适应性,与智能扬声器 (亚马逊Alexa) 相比.
- 调查感知系统能力和年龄在塑造语音调整中的作用.
- 检查分阶段交互错误对语音模式的影响.
主要方法:
- 一个涉及英语成年人和来自美国的儿童的心理语言实验.
- 在与人类同伴和亚马逊Alexa的互动期间,分析了参与者的语音 (持续时间,音调).
- 在设备交互阶段引入了一个分阶段语音识别错误.
主要成果:
- 与人类相比,参与者在向智能扬声器发言时表现出更有努力的演讲 (更长的持续时间,更高的音调).
- 儿童对设备发出明显更高的音调,在识别错误后进一步增加.
- 两个年龄组对Alexa的个性表现出类似的响应变化,表明能力感知,而不仅仅是人形,推动了语音调整.
结论:
- 对智能扬声器的语言适应受感知系统能力的影响,特别是在儿童中.
- 这些发现支持了口语与技术交互的常规化理论,并为语音生产模型提供了信息.
- 这项研究为各种用户群体优化人机交互设计提供了洞察力.
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