语音保真度对决策的影响：一种潜在的暗黑模式？
Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern?
AI总结：
本研究通过听力测试和在线决策实验，发现语音合成质量（方法及韵律）显著影响用户决策，且独立于选项内容，构成潜在的暗黑模式。
摘要：
用户界面中的操纵性设计（概念化为暗黑模式）已成为技术伦理设计的重要障碍，并对用户自主权和选择自由构成威胁。虽然以往研究侧重于在图形用户界面背景下探索这些模式，但语音的影响在很大程度上被忽视了。我们进行了一项听力测试（N=50），以了解参与者对不同合成语音的偏好，这些语音在合成方法（拼接式 vs. 神经式）和韵律特征（语速和音高变化）上有所不同，随后在一项在线决策研究（N=101）中评估了它们的影响。我们的结果表明，语音质量对参与者的选择有显著影响，且独立于可用选项的内容。我们的结果还表明，语音的感知参与度、易理解性和领域契合度直接转化为其在决策任务中对参与者行为的影响。
英文摘要：
Manipulative design in user interfaces (conceptualized as dark patterns) has emerged as a significant impediment to the ethical design of technology and a threat to user agency and freedom of choice. While previous research focused on exploring these patterns in the context of graphical user interfaces, the impact of speech has largely been overlooked. We conducted a listening test (N = 50) to elicit participants' preferences regarding different synthetic voices that varied in terms of synthesis method (concatenative vs. neural) and prosodic qualities (speech pace and pitch variance), and then evaluated their impact in an online decision-making study (N = 101). Our results indicate a significant effect of voice qualities on the participant's choices, independently from the content of the available options. Our results also indicate that the voice's perceived engagement, ease of understanding, and domain fit directly translate to its impact on participants' behaviour in decision-making tasks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
