Why Games?


The main assumption underlying our research program is that the often disappointing outcomes of prevention and treatment trials, and the emerging challenges in e-mental health initiatives, result from limitations in the delivery of evidence-based principles – not the principles themselves. Games are an effective delivery model for many reasons:

(1) Engagement: Most of our interventions impart psychoeducational information, but adolescents often find didactic lessons boring. We want to hijack kids' enthusiasm for games for purposes beyond entertainment.

(2) Motivation: The key predictor of treatment outcomes is motivation for change. Games are intrinsically motivating because they offer a strong sense of agency, opportunities for co-creation with like-minded peers, and fun.

(3) Practice: Most conventional interventions do a good job of teaching new knowledge, but don't provided much practice with emotion regulations skills, which need to be practiced. Video games can be played for extensive periods of time, can trigger a range of increasingly negative emotions, and are deeply social at this point, simulating and preparing users for real life social challenges.

(4) Stigma is a huge barrier to prevention and treatment. Games can be delivered through “stealth” approaches that avoid mental health labelling.

(5) Personalization: Conventional prevention approaches are unable to tailor interventions to the diverse needs of an at-risk population. Video games are complex systems that adjust dynamically to the players’ actions. Each player’s in-game progress adjusts the degree of difficulty and reinforcement, maintaining an optimal balance for each individual.

(6) Access and cost: Approximately 80% of youths who need mental health care receive no services. Those most in need of care have a difficult time accessing programs and cost is a major barrier to access for a large subpopulation.

The GEMH Design Framework

At this early stage, we think it's critical to develop a rigorous theoretical framework and a new methodology that stipulates how to use games to develop and test theories of psychological change, and implement prevention strategies based on its outcomes. The GEMH lab is developing this framework, with its international consortium of talented academics, clinicians, commercial game designers, and entrepeneurs. Together, we are building and refining the GEMH framework, a methodology that stipulates how to develop games, with whom to do so, the research approaches necessary for validation, and the most effective methods for dissemination of evidence-based products. We are still at the early stages of building this framework, but we'd like it to not only be relevant to anxiety and depression, but also to a wide spectrum of mental health issues (including aggressive behaviour disorders, autism, and attention deficit-hyperactivity disorder) as well as to be useful for the promotion of emotional resilience for all children and youth.

Our Methodology


Not all games tap mental health variables. To optimize our outcomes, it is critical that game components target causal mediators related to anxiety and depression. Game components -- or mechanics -- are rule-based systems that encourage a user to engage with particular properties of the game through a carefully designed feedback process. Each mechanic is a vehicle that trains a certain skill: We are interested in identifying and designing mechanics most relevant to anxiety and/or depression and emotional resilience more generally. Examples of the kinds of mechanisms we are targeting in our games, and the mechanics most relevant for training improvements in these mechanisms, are shown below.



Rigorous Scientific Testing

We are first and foremost scientists: All our game mechanics are tested for both engagement and retention potential as well as for psychological and behavioural impact. We apply an iterative testing model during which we test our design and mechanics over multiple design phases, as we develop our games. We ultimately conduct randomized controlled trials (RCTs) to establish the efficacy of our games compared to the most strict control-group standards. That means we test our games against other control games as well as comparing them to the evidence-based gold-standard interventions (CBT) currently implemented. Ultimately, we want to know whether our games significantly decrease anxiety, depression and substance use, as well as whether they promote emotional resilience skills (e.g., growth mindset) and whether these games are doing a better job than conventional intervention approaches. We register all our trials, adhere to CONSORT standards, and publish all our findings, regardless of outcomes. We are very serious about contributing to the scientific foundation of evidence-based games for mental health and we consider null findings as important to this aim as the "positive" results we obtain. 





Replicate... or not

Given the importance of independent replication of scientific studies, especially in the field of intervention science, we are  committed to sharing our games and mechanics with other researchers who seek to conduct similar research. If you are interested in testing one of our games or mechanics in your own, independently-run studies, contact us

Testing For Emotional Design

We are working to develop a standardized framework for testing our game design. We import methods from game design studies, design more generally, and qualitative methods to establish the engagement, retention and fun related to playing our games. We also test whether our designs trigger the range of emotions we are seeking to evoke.



Latest Projects View all projects

  • Project Lead Category Project Status
    Anouk Poppelaars Resilience Preparation

    Facing the Challenge Together: a Social Game for Emotional Resilience

    About the project

    Our research aims to transform young people’s mental health by developing and testing a social game for resiliency when facing stress events. Working in collaboration with the Award winning studio Aardman Animations, we want to harness the important mental health implications of both social support and mindsets, to develop a fun and engaging intervention.

    view this project

  • Project Lead Category Project Status
    Jan Brammer Gaming Preparation

    Control Over Automatic Action Tendencies Under Threat: A Biofeedback Training in Virtual Reality

    About the project

    Fast and accurate decision making in threatening situations is vital for police officers on duty. However, under threat, people tend to react impulsively and lack cognitive control. This is why police officers need to train control over their responses to threat as much as possible. To enable this, we develop a virtual training environment with real-time biofeedback. We combine virtual reality and biofeedback to create a personalized, realistic training experience, while honing state-of-the-art technology and psychophysical theory.

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  • Project Lead Category Project Status
    Nastasia Griffioen Depression Preparation

    Information Sampling in Depression

    About the project

    In this project, we aim to take a closer look at the way in which information is being sampled and integrated in individuals suffering from or at risk for depression. Since human beings are only able to perceive and process a limited amount of information, we have evolved to sample parts of information instead and attempt to draw accurate and workable conclusions based on the sample available to us. We have reason, however, to think that this process may be affected in depression, and aim to find out how exactly using methods such as behavioural computational modeling.

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Results

Testing for Real-World Outcomes



Testing for Mechanisms of Change


97%

Youth that play video games regularly

80%

Youth who need mental health care but receive no services

20%

Children diagnosed with an anxiety disorder

RESEARCHERS

 

Vacancy for Research Assistant with Machine Learning Experience

The GEMH Lab is looking for a full-time research assistant to model physiological data from players of a virtual reality biofeedback game using machine learning methodology.


More Info