Factors Influencing Personal Health Information Sharing for Digital Health Interventions Supporting Habit Formation: A Systematic Review
Reinsch, F., Hitzke, F., & Schlieter, H. (2026). BIOSTEC · SciTePress.
This systematic review examines what makes people willing or reluctant to share personal health information with digital interventions that support habit formation. It synthesises the literature into the individual, technological and contextual factors that shape disclosure decisions. The findings help designers build trust and tailor data practices so habit-support apps gather the data they need without losing their users.
The App, the Habit, and the Change: Digital Tools for Multi-Domain Behavior Change
Reinsch, F., Kählig, M., Neubauer, M., Stark, J., & Schlieter, H. (2025). Wirtschaftsinformatik.
This paper explores how a single digital tool can support behaviour change across several life domains at once, rather than one habit in isolation. It looks at the design principles that let an app help users build movement, nutrition, sleep and mindfulness habits together. The work argues that multi-domain support better reflects how healthy routines actually interact in everyday life.
Built For Sprints, Needed For Marathons: Mapping The Gap Between Science, Users, and Implementation In Digital Habit Formation Apps
Reinsch, F., Sitzberger, M. L., Kählig, M., & Stark, J. (2026). European Conference on Information Systems.
This study maps the gap between the science of habit formation, what users actually need, and how digital habit apps are implemented in practice. It shows that many apps are built for short bursts of motivation, while lasting change requires long-term, marathon-style support. The authors highlight where research, user expectations and product design pull apart, and what it would take to align them.
Tailoring Health: Contextual Variables In Health Recommender Systems
Reinsch, F., Weimann, T. G., & Stark, J. (2024). HealthRecSys · ACM RecSys.
This paper investigates how contextual variables such as time, location and situation can make health recommendations more relevant to each person. It reviews which context factors matter for recommending healthy behaviours and how they can be built into recommender systems. The goal is to move beyond one-size-fits-all advice toward recommendations that fit the moment.
From Instant Cues to Fading Views: Piloting Just-in-Time and Fading Strategies in Digital Habit Formation
Reinsch, F., Weimann, T., & Stark, J. (2025). Americas Conference on Information Systems.
This pilot study tests two behavioural strategies in a digital habit app: just-in-time cues at the right moment, and fading, where support is gradually withdrawn. It examines how these mechanisms affect the process of forming durable routines. Early results give practical guidance on when to nudge users and when to step back.
Building Habits in the Digital Age: Incorporating Psychological Needs and Knowledge from Practitioners to Inform the Design of Digital Therapeutics
Stark, J., Weimann, T., Reinsch, F., Hickmann, E., Kählig, M., Gißke, C., & Richter, P. (2023). Wirtschaftsinformatik.
This paper informs the design of digital therapeutics by combining psychological-needs theory with knowledge gathered from practitioners. It asks how apps can support genuine, self-sustaining habit change rather than short-lived compliance. The result is a set of design considerations that ground digital habit tools in both theory and clinical practice.