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shows that the perception of app’s and providers’ reputations influences both interpersonal and institutional trust. Privacy sensitivity, as expected, shows a significantly negative influence on trust in privacy ergo the institutional trust. Hence, these two factors appear to be the main direct determinants of trust itself. Regarding the remaining external factors, technical affinity and competence show a significantly positive influence on the perceived ease of use, a result that is intuitive. Perceived control has the same kind of influence both on the PEOU as well as the perceived usefulness. Besides these intuitive results, there are also weakly significant influences that lack contentual explanation: Negative experience with apps for example shows a counterintuitively positive effect on PU while PEOU shows a negative effect on the intention to change behaviour. Although only being significant on a 10% level, we mention these results as an indicator for possible needs of further qualitative research following our study that could explain these phenomena. Regarding all results, we see various opportunities for future research based on our findings. Currently, these results are being used by us for a follow up study. The aim of that study is to identify tangible modes of governance for complex traffic systems. To govern these systems, it is key to know how recommendations to change behaviour lead to users’ factual action. References Abraham, Charles; Michie, Susan (2008): A taxonomy of behavior change techniques used in interventions. In Health psychology : official journal of the Division of Health Psychology, American Psychological Association 27 (3), pp. 379–387. DOI: 10.1037/0278- 6133.27.3.379. Amelang, M.; Bartussek, D. (1997): Zwischenmenschliches Vertrauen. Anand, T. N.; Kutty, V. Raman (2015): Development and testing of a scale to measure trust in the public healthcare system. In Indian journal of medical ethics 12 (3), pp. 125– 133. DOI: 10.20529/IJME.2015.044. Beierlein, Constanze; Kemper, Christoph; Kovaleva, Anastassyia; Rammstedt, Beatrice (2012): Ein Messinstrument zur Erfassung politischer Kompetenz-und Einflusserwartungen. Political Efficacy Kurzskala (PEKS). GESIS. Bhattacherjee, A. (2000): Acceptance of e-commerce services. The case of electronic brokerages. In IEEE Trans. Syst., Man, Cybern. A 30 (4), pp. 411–420. DOI: 10.1109/3468.852435. Conroy, David E.; Yang, Chih-Hsiang; Maher, Jaclyn P. (2014): Behavior change techniques in top-ranked mobile apps for physical activity. In American journal of preventive medicine 46 (6), pp. 649–652. DOI: 10.1016/j.amepre.2014.01.010. Davis, Fred D. (1989): Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. In MIS Quarterly 13 (3), p. 319. DOI: 10.2307/249008. Davis, Fred D.; Bagozzi, Richard P.; Warshaw, Paul R. (1989): User acceptance of computer technology. A comparison of two theoretical models. In Management science : journal of the Institute for Operations Research and the Management Sciences. 46