Visualization, Self-Efficacy, and Locus of Control in a Virtual Reality Biofeedback Video Game for Anxiety Regulation.

The current study aimed to identify specific feedback mechanics and psychological processes that may contribute to positive outcomes in biofeedback applications for anxiety regulation. Specifically, using a dismantling study design, the unique impact of visualizations that directly mirror users' breathing was examined in relation to anxiety regulation as well as locus of control and self-efficacy. Following an anxiety induction, participants ( = 67) were randomly assigned to play one of two variations of a biofeedback video game.

Deep-Breathing Biofeedback Trainability in a Virtual-Reality Action Game: A Single-Case Design Study With Police Trainers.

It is widely recognized that police performance may be hindered by psychophysiological state changes during acute stress. To address the need for awareness and control of these physiological changes, police academies in many countries have implemented Heart-Rate Variability (HRV) biofeedback training. Despite these trainings now being widely delivered in classroom setups, they typically lack the arousing action context needed for successful transfer to the operational field, where officers must apply learned skills, particularly when stress levels rise.

Breathing Biofeedback for Police Officers in a Stressful Virtual Environment: Challenges and Opportunities.

As part of the Dutch national science program "Professional Games for Professional Skills" we developed a stress-exposure biofeedback training in virtual reality (VR) for the Dutch police. We aim to reduce the acute negative impact of stress on performance, as well as long-term consequences for mental health by facilitating physiological stress regulation during a demanding decision task. Conventional biofeedback applications mainly train physiological regulation at rest.

Efficacy of a Virtual Reality Biofeedback Game (DEEP) to Reduce Anxiety and Disruptive Classroom Behavior: Single-Case Study.

Background: Many adolescents in special education are affected by anxiety in addition to their behavioral problems. Anxiety leads to substantial long-term problems and may underlie disruptive behaviors in the classroom as a result of the individual's inability to tolerate anxiety-provoking situations. Thus, interventions in special needs schools that help adolescents cope with anxiety and, in turn, diminish disruptive classroom behaviors are needed.

A Stimulated Recall Method for the Improved Assessment of Quantity and Quality of Social Media Use.

Background: Social media are as popular as ever, and concerns regarding the effects of social media use on adolescent well-being and mental health have sparked many scientific studies into use effects. Social media research is currently at an important crossroads: conflicting results on social media use's effects on well-being are abundant, and recent work in the field suggests that a new approach is required. The field is in need of an approach involving objective data regarding use where necessary and attention to different kinds of detail such as the why and how of social media use.

Are changes in children's communication patterns predictive of treatment outcomes for children with anxiety?

Anxiety is the most prevalent childhood psychopathology. Cognitive behavioural therapy is considered the most effective treatment, but outcomes remain variable. This study investigated children's communication patterns in child-therapist conversations and whether changes in these patterns, from rigid to more flexible, were associated with better treatment outcomes.

Dyslexic and skilled reading dynamics are self-similar.

The shape of a word pronunciation time distribution supplies information about the dynamic interactions that support reading performance. Speeded word-naming pronunciation and response time distributions were collected from 20 sixth grade Dutch students with dyslexia and 23 age-matched controls. The participants' pronunciation times were modeled and contrasted with a lognormal inverse power-law mixture distribution.

A fractal approach to dynamic inference and distribution analysis.

Event-distributions inform scientists about the variability and dispersion of repeated measurements. This dispersion can be understood from a complex systems perspective, and quantified in terms of fractal geometry. The key premise is that a distribution's shape reveals information about the governing dynamics of the system that gave rise to the distribution.