青少年用语音助手时，隐私控制难、信息不透明，影响保护行为。
Convenience vs. Control: A Qualitative Study of Youth Privacy with Smart Voice Assistants
- 通过焦点小组访谈，分析青年用户对语音助手隐私风险与收益的感知。
- 透明度低、设置分散导致隐私自效能下降，进而减少保护行为。
- 提出统一隐私中心、数据营养标签等设计建议，兼顾便利与可控性。
智能语音助手（SVAs）已嵌入青少年日常生活，但其隐私控制常不透明且难以管理。通过对26名加拿大青年（16-24岁）开展五场半结构化焦点小组讨论，研究发现，隐私风险感知（PPR）与收益感知（PPBf）受算法透明度与信任（ATT）及隐私自效能（PSE）影响，共同塑造隐私保护行为（PPB）。分析显示，政策过载、设置碎片化和数据留存不清削弱了用户的自我效能感，抑制了保护性行为。相反，简单透明提示能增强信心，且不影响免提任务与娱乐的使用体验。研究构建了一个定性模型：透明度摩擦降低PSE，进而削弱PPB。据此提出可操作的设计建议：统一隐私枢纽、通俗易懂的“数据营养”标签、明确的数据保留默认值，以及设备相关的微型教程。该研究突出青年视角，为语音助手治理与设计提供路径，既保障便利性，又赋能年轻数字公民。
原文摘要 · Abstract (English)
Smart voice assistants (SVAs) are embedded in the daily lives of youth, yet their privacy controls often remain opaque and difficult to manage. Through five semi-structured focus groups (N=26) with young Canadians (ages 16-24), we investigate how perceived privacy risks (PPR) and benefits (PPBf) intersect with algorithmic transparency and trust (ATT) and privacy self-efficacy (PSE) to shape privacy-protective behaviors (PPB). Our analysis reveals that policy overload, fragmented settings, and unclear data retention undermine self-efficacy and discourage protective actions. Conversely, simple transparency cues were associated with greater confidence without diminishing the utility of hands-free tasks and entertainment. We synthesize these findings into a qualitative model in which transparency friction erodes PSE, which in turn weakens PPB. From this model, we derive actionable design guidance for SVAs, including a unified privacy hub, plain-language "data nutrition" labels, clear retention defaults, and device-conditional micro-tutorials. This work foregrounds youth perspectives and offers a path for SVA governance and design that empowers young digital citizens while preserving convenience.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。