Evaluating information quality online is increasingly important for healthy decision-making. People assess information quality using visual interfaces (e.g., computers, smartphones) with visual cues like aesthetics. Yet, voice interfaces lack critical visual cues for evaluating information because there is often no visual display. Without ways to assess voice-based information quality, people may overly trust or misinterpret information which can be challenging in high-risk or sensitive contexts. This paper investigates voice information uncertainty in one high-risk context—health information seeking. We recruited 30 adults (ages 18–84) in the United States to participate in scenario-based interviews about health topics. Our findings provide evidence of information uncertainty expectations with voice assistants, voice search preferences, and the audio cues they use to assess information quality. We contribute a nuanced discussion of how to inform more critical information ecosystems with voice technologies and propose ways to design audio cues to help people more quickly assess content quality.

中文翻译：

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了解基于语音的信息不确定性：使用语音助手查找健康信息的案例研究

在线评估信息质量对于健康决策越来越重要。人们使用视觉界面（例如计算机、智能手机）和美学等视觉线索来评估信息质量。然而，语音界面缺乏评估信息的关键视觉提示，因为通常没有视觉显示。如果没有评估基于语音的信息质量的方法，人们可能会过度信任或误解信息，这在高风险或敏感环境中可能具有挑战性。本文研究了一种高风险环境下的语音信息不确定性——健康信息搜索。我们在美国招募了 30 名成年人（18-84 岁）来参与有关健康主题的情景访谈。我们的研究结果提供了语音助手的信息不确定性预期、语音搜索偏好以及用于评估信息质量的音频提示的证据。我们对如何通过语音技术向更关键的信息生态系统提供信息进行了细致入微的讨论，并提出了设计音频提示的方法，以帮助人们更快地评估内容质量。