University Lecturer
Raoul Nuijten
Department / Institute
RESEARCH PROFILE
As a researcher, I develop and evaluate apps that support behavior change. In particular, I aim to establish their optimal configuration to effectively promote behaviors that support health and work performance.
Because people have unique needs and traits, personalized approaches are promising to foster behavior change. Yet, it remains unclear how apps could meaningfully be tailored to individuals in varying contexts. I address this gap by applying data science techniques to develop novel personalization strategies, and evaluate their impact in empirical experiments.
Keywords: behavior, health, lifestyle, meaningful work, influence, apps, data science, personalization
Recent Publications
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Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app
(2023) -
SciModeler: A Toolbox for Consolidating Scientific Knowledge within the Field of Health Behavior Change
SN Computer Science (2023) -
Residents’ preferences for neighborhood social, built, and digital environment interventions to promote physical activity
(2023) -
Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial
JMIR Mhealth and Uhealth (2022) -
Energize
(2022)
Ancillary Activities
No ancillary activities