Our three-layered trust model provides a new lens for conceptualizing the variability of trust in automation. Its structure can be applied to help guide future research and develop training interventions and design procedures that encourage appropriate trust.

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BackgroundNumerous mental health apps have been developed and made available to users on the current app market. Users may find it difficult and overwhelming to select apps from the hundreds of choices that are available in the app marketplace. Clarifying what information cues may impact a user’s selection and adoption of mental health apps is now a critical and pressing issue.ObjectiveThe aim of this study was to investigate the impact of information cues on users’ adoption of anxiety apps using observational data from the Android app market.MethodsA systematic search of anxiety apps was conducted on the Android app store by using keywords search. The title and metadata information of a total of 274 apps that met our criteria were collected and analyzed. Three trained researchers recorded the app rankings from the search results page on different dates and Web browsers.ResultsOur results show that ratings (r=.56, P<.001) and reviews (r=.39, P<.001) have significant positive correlations with the number of installs, and app prices have significant negative correlations with installs (r=−.36). The results also reveal that lower-priced apps have higher ratings (r=−.23, P<.001) and a greater number of app permission requests (r=.18, P=.002) from the device. For app titles, we found that apps with titles related to symptoms have significantly lower installs than apps with titles that are not related to symptoms (P<.001).ConclusionsThis study revealed a relationship between information cues and users’ adoption of mental health apps by analyzing observational data. As the first of its kind, we found impactful indicators for mental health app adoptions. We also discovered a labeling effect of app titles that could hinder mental health app adoptions and which may provide insight for future designs of mental health apps and their search mechanisms.

Every day billions of users allow cloud-based internet services to collect, store, and manage their personal information. The use of this information is constrained only by long, wordy privacy agreements that users likely did not read before clicking "Agree." Even if they were to read them, would users understand these policies? We present the results of a two-part privacy survey that assessed users' knowledge and opinions of online privacy issues. We asked users not only what they think, but what they know. Results expose several key knowledge gaps, demonstrating a problem of information asymmetry between users and internet services providers, and strong dissatisfaction with the current system. These findings demonstrate that there is insufficient comprehension and voluntariness in the consent process for users to give informed consent to the collection and management of their personal information, which may in part explain the "privacy paradox."