Organizations are collecting large amounts of data that are generated by Internet-connected devices in people’s homes. This raises questions regarding online privacy and data security. A common concern is that online advertisements are personalized based on conversations that have unknowingly been recorded by people’s smart devices. The present article examines this phenomenon and the potential determinants influencing this concern. For this purpose, an online survey (N = 277) was conducted. Three predictors were identified that affect the perceived surveillance of conversations: trust in smart devices, computer anxiety and prior negative experience. The developed surveillance effect model is discussed to understand the factors influencing this concern. The findings of this study serve as a foundation for future research and might support organizations in optimizing customer relations.

组织正在收集人们在家中通过Internet连接的设备生成的大量数据。这就提出了有关在线隐私和数据安全性的问题。人们普遍担心的是，在线广告是根据人们的智能设备在不知不觉中记录的对话进行个性化的。本文研究了这种现象以及影响此问题的潜在决定因素。为此，进行了在线调查（N = 277）。确定了三个影响对话的感知监视的预测因素：对智能设备的信任，计算机焦虑和先前的负面经历。讨论了开发的监视效果模型以了解影响此问题的因素。