有说服力的合成语音:语音感知和用户行为

Mateusz Dubiel, Martin Halvey, Pilar Oplustil Gallegos, Simon King
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引用次数: 11

摘要

先前的研究表明,人工合成的语音可以和人类的语音一样有说服力。然而,交互式目标导向任务缺乏实证验证。在我们的两阶段研究(在线听力测试和实验室评估)中,我们比较了参与者对辩论风格的演讲和有声书演讲中合成声音的说服力的看法。参与者与我们的会话代理(CA)进行互动,完成4项航班预订任务,并被要求评估语音、信息和感知到的个人品质。我们发现,使用辩论式演讲产生的声音与CA互动的参与者认为它比使用基于有声读物的声音的CA更真实,更投入。然而,每组遵循CA建议的频率没有差异。我们希望我们的调查能够引发关于不同合成声音对用户在目标导向任务中对人工智能感知的影响的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Persuasive Synthetic Speech: Voice Perception and User Behaviour
Previous research indicates that synthetic speech can be as persuasive as human speech. However, there is a lack of empirical validation on interactive goal-oriented tasks. In our two-stage study (online listening test and lab evaluation), we compared participants' perception of the persuasiveness of synthetic voices created from speech in a debating style vs. speech from audio-books. Participants interacted with our Conversational Agent (CA) to complete 4 flight-booking tasks and were asked to evaluate the voice, message and perceived personal qualities. We found that participants who interacted with the CA using the voice created from debating style speech rated it as significantly more truthful and more involved than the CA using the audio-book-based voice. However, there was no difference in how frequently each group followed the CA's recommendations. We hope our investigation will provoke discussion about the impact of different synthetic voices on users' perceptions of CAs in goal-oriented tasks.
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