评估智能家居设备用户对其（未）确认的隐私预期的响应
Evaluating Smart Home Device User Responses to their (Un)Confirmed Privacy Expectations
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中文总结 AI 辅助
该研究采用期望确认理论，通过实地研究与在线实验，揭示智能家居数据处理方式对用户态度及阻止行为的影响，明确透明度与期望确认的作用。
中文摘要 AI 辅助
智能家居设备的用户往往不清楚设备如何处理个人数据。我们研究了披露这些数据处理方式如何影响用户的信任、满意度和应对行为，包括阻止设备通信的决策。我们采用期望确认理论，开展两项互补研究以平衡生态效度与实验控制：一项现场实地研究使用网络监控披露设备实际流量，一项在线实验呈现带有操纵后广告相关通信水平的模拟报告。两项研究结果显示，当数据处理方式与用户预期一致时，满意度提升，增强了用户继续使用设备的意向；防御性响应则遵循不同路径：实地研究中满意度预测用户阻止的意愿，实验中收集担忧是阻止的主要预测因素。这些发现共同表明，透明度如何改变现有智能家居用户的态度与行为，强调了期望确认在现实持续使用场景中的作用。
英文摘要
Users of smart home devices are often unaware of how their devices handle personal data. We examine how revealing these data practices influences user trust, satisfaction, and coping behaviors, including decisions to block device communications. Using Expectation-Confirmation Theory, we conducted two complementary studies to balance ecological validity with experimental control. An in-situ field study used network monitoring to reveal actual device traffic, and an online experiment presented simulated reports with manipulated levels of advertising-related communications. Across both studies, when data practices aligned with user expectations, satisfaction increased, strengthening intentions to continue using the device. Defensive responses, however, followed different pathways: satisfaction predicted willingness to block in the in-situ field study, whereas collection concerns were the primary predictor of blocking in the experiment. Together, these findings show how transparency reshapes attitudes and behaviors among existing smart-home users, underscoring the role of expectation confirmation in real-world, continued-use contexts.
