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Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study

Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study

This standardization process will convert raw scores into Z scores, as previously described by Franke Foyen et al [62] and for a full overview of the multiple linear regression models used and how they were calculated, see the studies by Mindmore [77] and van den Hurk et al [78].

Ludwig Franke Föyen, Victoria Sennerstam, Evelina Kontio, Oskar Flygare, Magnus Boman, Elin Lindsäter

JMIR Res Protoc 2025;14:e65790

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Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study

Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study

However, as introduced by Schrills and Franke [42], subjective evaluation of a user’s ability to “perceive, understand and predict a system’s information processing,” described as subjective information processing awareness, can serve as a construct to assess users’ perception of an automation’s effect on situation awareness. However, users’ perception of their information processing awareness might not be reflected in the accuracy of their knowledge about the system’s information processing.

Tim Schrills, Lilian Kojan, Marthe Gruner, André Calero Valdez, Thomas Franke

JMIR Hum Factors 2024;11:e53940

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