New paper: Theoretical Model and Suggestions for a New Phase of Biofeedback Research and Implementation

Our viewpoint paper "An Integrative Model for the Effectiveness of Biofeedback Interventions for Anxiety Regulation" has been published in the Journal of Medical Internet Research! This paper was a labour of love and we hope it can serve as a guide for future research projects and that it will inspire the design of engaging, meaningful, and hopefully more effective biofeedback interventions. 

You can access the paper here 

Biofeedback has shown to be a promising tool for the treatment of anxiety; however, several theoretical as well as practical limitations have prevented widespread adaptation until now. With current technological advances and the increasing interest in the use of self-monitoring technology to improve mental health, we argue that this is an ideal time to launch a new wave of biofeedback training. In this viewpoint paper, we reflect on the current state of biofeedback training, including the more traditional techniques and mechanisms that have been thought to explain the effectiveness of biofeedback such as the integration of operant learning and meditation techniques, and the changes in interoceptive awareness and physiology. Subsequently, we propose an integrative model that includes a set of cognitive appraisals as potential determinants of adaptive trajectories within biofeedback training such as growth mindset, self-efficacy, locus of control, and threat-challenge appraisals. Finally, we present a set of detailed guidelines based on the integration of our model with the mechanics and mechanisms offered by emerging interactive technology to encourage a new phase of research and implementation using biofeedback. There is a great deal of promise for future biofeedback interventions that harness the power of wearables and video games, and that adopt a user-centered approach to help people regulate their anxiety in a way that feels engaging, personal, and meaningful.


Joanneke Weerdmeester
Researcher at GEMH Lab

Behavioural scientist, lecturer, consultant, gamer, dungeon master, language enthusiast, and lover of all things geeky.


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