用户语音速率和对系统语音速率的偏好

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Stewart Dowding , Carl Gutwin , Andy Cockburn
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引用次数: 0

摘要

先前的人类交流研究表明,当对话者之间的交流内容趋同时,就会产生亲社会的结果--例如,当人们调整彼此的音调或语速时,社会好感度和感知能力就会提高。受这些发现的启发,我们研究了用户对系统语速快慢的偏好是否与用户语速有关。实验参与者上传了他们的阅读语音和自发语音样本,然后在选择他们偏好的系统语速之前聆听了快慢系统语音。实验结果与我们的假设一致,即语速快的人更喜欢语速快的系统语音,而语速慢的人更喜欢语速慢的系统语音。我们还讨论了设计方面的影响,以及未来探索系统自动测量用户语速并向其靠拢的可能性的研究计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User speech rates and preferences for system speech rates

Prior studies of human communication have demonstrated that prosocial outcomes occur when facets of communication converge between interlocutors—for example, social likeability and perceived competence increase when people adapt their pitch or rate of speech towards one another. Inspired by these findings, we examined whether user preference for fast or slow system speech rate covaries with user speech rate. Experimental participants uploaded samples of their reading speech and spontaneous speech, and then listened to fast and slow system speech before choosing their preferred system speech rate. Results aligned with our hypothesis that fast speakers prefer faster system speech and that slow speakers prefer slow. Design implications are discussed, as well as plans for future studies that explore the potential for systems to automatically measure the user’s speech rate and converge towards it.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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