The use of voice-activated personal assistants (VAPA), such as Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana and Google’s Assistant has been steadily increasing in recent years. With improving speechrecognition capabilities the VAPAs can perform tasks such as online searches, playback of audiobooks or placing small orders in online stores. A key characteristic of these technologies is their capability to react and respond to users’ requests, to engage in human-like behavior and, even to be able to learn and evolve. While initially introduced in PCs and portable devices such as smartphones, watches and tablets, the latest VAPA reside in stationary speakers such as Amazon’s Echo and Google Home, which are aimed at becoming the user interface for a smart home environment. Amazon has also enabled hardware developers to integrate Alexa into their Internet-connected devices, including cars. While consumers often use smart technologies in the private environment of their homes, the use contexts can vary from home to a car to a public place in a (smart) city. With the plethora of use contexts and alternative interfaces, the developers of future smart services need to carefully consider how and where their services are used. As of yet, only limited amount of research has been conducted on consumer perception, adoption and use of VAPA. Prior studies reveal that privacy concerns (Easwara Moorthy & Vu, 2015), fear of being rendered inactive (Portet et al., 2013) and social acceptability (Efthymiou & Halvey, 2016) impact consumers’ usage behavior and/or acceptability of VAPA technologies. Given that smart technologies are projected to considerably change consumer (service usage) behavior in future, it is important to understand the user perceptions of these technologies, the characteristics that inhibit or increase consumers’ adoption resistance, and the preferred user interfaces for consuming the services in different contexts. To fill this research gap, we will apply a multidisciplinary research approach, building on earlier research on IS, marketing and service science. First, consumer insights will be obtained through qualitative focus group interviews, semi-structured interviews, and data mining of blogs and product reviews. Then, the developed research model will be tested in a series of experiments among users and non-users of VAPA technologies. Our research will bring new theoretical and practical insights into the use of VAPA services and we expect the results to be generalizable for use of a broad range of smart technologies and services.