Investigating Users' Preferences and Expectations for Always-Listening Voice Assistants
Investigating Users' Preferences and Expectations for Always-Listening Voice Assistants
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DOI：
10.1145/3369807
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发表时间：
2019-12
影响因子：
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通讯作者：
Madiha Tabassum;Tomasz Kosinski;Alisa Frik;Nathan Malkin;Primal Wijesekera;Serge Egelman;H. Lipford
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文献类型：
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作者：
Madiha Tabassum;Tomasz Kosinski;Alisa Frik;Nathan Malkin;Primal Wijesekera;Serge Egelman;H. Lipford
许多消费者现在依赖不同形式的语音助手，包括独立设备以及内置于智能手机中的语音助手。目前，这些系统对特定的唤醒词做出反应，比如“Alexa”、“Siri”或“Ok Google”。然而，随着自然语言处理技术的进步，下一代语音助手可能会改为始终监听声学环境，并在未被明确调用的情况下，基于对话主动提供服务和建议。我们将这类设备称为“始终监听语音助手”，并探讨对其潜在用途的期望。在本文中，我们报告了一项有178名参与者的调查，该调查研究了人们期望从这类设备中获得的潜在服务，以及他们对于为这些目的共享数据的看法。我们的研究结果显示，参与者能够预期到与对话相关的多种服务；然而，大多数服务与现有语音助手在明确指令下当前提供的服务非常相似。当参与者觉得对话不敏感、对服务满意且认为有益，以及他们已经拥有独立语音助手时，他们更有可能同意共享对话。基于我们的研究结果，我们讨论了在设计始终监听语音助手时面临的隐私挑战。
Many consumers now rely on different forms of voice assistants, both stand-alone devices and those built into smartphones. Currently, these systems react to specific wake-words, such as "Alexa," "Siri," or "Ok Google." However, with advancements in natural language processing, the next generation of voice assistants could instead always listen to the acoustic environment and proactively provide services and recommendations based on conversations without being explicitly invoked. We refer to such devices as "always listening voice assistants" and explore expectations around their potential use. In this paper, we report on a 178-participant survey investigating the potential services people anticipate from such a device and how they feel about sharing their data for these purposes. Our findings reveal that participants can anticipate a wide range of services pertaining to a conversation; however, most of the services are very similar to those that existing voice assistants currently provide with explicit commands. Participants are more likely to consent to share a conversation when they do not find it sensitive, they are comfortable with the service and find it beneficial, and when they already own a stand-alone voice assistant. Based on our findings we discuss the privacy challenges in designing an always-listening voice assistant.