Programs & Services

Automatic Multimodal Affect Detection During Interpersonal Interactions (MULTI-MODAL) - Centre for Digital Mental Health

Automatic Multimodal Affect Detection During Interpersonal Interactions (MULTI-MODAL) uses observational methods of measuring affective behavior have provided critical insights into emotion, socio-emotional development, and psychopathology. A persistent barrier to their wide application is that they are labor-intensive to learn and to use.  Our interdisciplinary team of behavioral and computer scientists will develop and validate a fully automated system for measuring affective behavior from multimodal (face, gaze, body, voice, and speech) input for research and clinical use.

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BIG DATA: A framework for "Big Data" mental health research on Twitter - Centre for Digital Mental Health

BIG DATA is a project studying relationships and patterns among online behaviors to identify a set of critical metrics that mark important differences among users; to identify and create metrics based on online behavior that are reliable and valid markers of important mental-health variables; and conduct a proof-of-concept study where use our newly identified metrics of online behavior to study community responses to a particularly devastating category of mass trauma events, mass shootings.(NIMH R21 Grant, PI: Sanjay Srivastava)

Effortless Assessment of Stressful Experiences (EASE) - Centre for Digital Mental Health

EASE is investigating the role of mobile sensing using smart phones in detecting changes in stressful life experiences, using an academic stress paradigm. Ease uses data derived from naturalistic phone use including: 

• Natural language use
• Facial expression
• Acoustic voice and
• Geographic movement.

Geolocating Movement and Psychopathology (G-MAP) - Centre for Digital Mental Health

Geolocating Movement and Psychopathology (G-MAP) is a project that is examining how geographical movement and location relate to mental and physical health outcomes using passive sensing technology on smartphone devices. Researchers have previously examined the effects of fixed geographical location on health outcomes, but there are few studies that integrate variation in day-to-day geographical location into a comprehensive predictive health model.

Highlights in Digital Mental Health 2021/22 - Digital Mental Health

The collection Frontiers in Digital Health – Highlights in Digital Mental Health 2021/22 is a collection that will welcome and showcase a selection of high impact articles authored by leaders in the field. The work presented here highlights the broad diversity of research performed across the Digital Mental Health section, and aims to put a spotlight on the main areas of interest. This collection aims to further support Frontiers’ strong community by shining a spotlight on our authors' highly impactful research.

Integrating mobile sensing into personalized adaptive sleep Interventions (SENSE+) - Centre for Digital Mental Health

Integrating mobile sensing into personalized adaptive sleep Interventions (SENSE+) is building on our previous work developing effective sleep enhancement interventions for adolescents, the SENSE + project is integrating individualized assessment of sleep patterns using wearable devices in order to provide adaptive personalized sleep improvement that incorporates just-in-time nudges delivered via mobile devices to enhance behavior change.

Mobile Quit - Type of device to deliver smoking cessation intervention - Centre for Digital Mental Health

Mobile Quit - Type of device to deliver smoking cessation intervention is a study that compares the efficacy and participant engagement of two versions of the same evidence-based core for smoking cessation:

1. A smartphone delivered program
2. A desktop/laptop delivered program.

MomMoodBooster (MMB) (Web-based Intervention for Postpartum Depression) - Centre for Digital Mental Health

MomMoodBooster (MMB) (Web-based Intervention for Postpartum Depression) is a project that includes the delivery and ongoing evaluation of a full-featured Web-based eHealth cognitive behavioral therapy intervention targeting postpartum depression. MMB is being implemented in practical settings by the Veterans Health Administration Office of Rural Health and the Southern New Jersey Perinatal Cooperative. It is also being expanded to become a perinatal depression intervention that is delivered across devices, including smartphones. Data and experience derived from this project will provide an important guide for how digital treatment programs can bridge the divide between research and implementation.

Online Course - Anxiety NZ

Online Services - Anxiety NZ

At Anxiety NZ, we offer a variety of resources and support, including online appointments for therapy and counselling with any of our clinicians. The clinicians at Anxiety NZ use either ZOOM or Teams to video call for online appointments. We will confirm this with you when scheduling your appointment.

Promoting Healthy Adolescent Relationships With Social Media (PROM) - Centre for Digital Mental Health

The PROM study is developing a social media intervention to promote mental health by enhancing healthy sexual and romantic relationships in teenagers. Using an instructional design approach to behavior change, the intervention will target 4 phases of romantic relationships:

• Choosing a partner
• Maintaining a relationship
• Choosing whether and when to end a relationship
• Dealing with breakups

Online methods including video modelling and text based practice and coaching will promote teens using decision making, self care, and relationships skills.

Psychological Risk In Social Media - Centre for Digital Mental Health

Psychological Risk In Social Media (PRISM) are examining automated methods to detect social media accounts (Twitter, Instagram) the are associated with high levels of psychological stress and mental health risk. These accounts are then characterized in terms of their patterns of network connectivity, and which of these characteristics predict persistent versus transient psychological distress. These studies will provide a foundation for building social network based interventions.

Psychosomatics and Interprofessional Digital Health - Digital Mental Health

Psychosomatic Medicine looks back at a longstanding tradition of interdisciplinary medical research investigating the mutual influences of psychosocial and physical factors on the development, progress and condition of disorders. A prominent example is consultation-liaison psychiatry, a specialty at the interface of mental and physical health care. Digital interventions are currently transforming health and care. Options of improving psychosomatic interprofessional care can be found in the following:

• Applications for monitoring mental and physical conditions by daily self-assessments, sensor data and/or smartphone-based data (location, activities, steps) often referred to as so called Ecological Momentary Assessments enabling individualized and targeted interventions
• Treatment concepts recurring to guided web-based interventions including CBT-based programs, mindfulness-based concepts and psychoeducation
• Applications supported by Artificial Intelligence (AI) (e.g. affective computing, voice- and video-based analysis) allowing for personalized intervention suggestions
• Web-based interventions designed for disease management, e.g. of a chronic disorder
• Innovative care concepts for psychosomatic disorders such as stepped or blended care, that basically make use of technology at certain points of treatment
• Approaches to support innovative nursing and care in psychosomatics
• Innovative solutions including videoconferencing tools for psychosomatic care or consultation-liaison psychiatry
• Augmented and virtual reality interventions for psychosomatic recovery
• Implementation facilitators and barriers in the sectors of psychosomatic care or consultation-liaison psychiatry
• Applying technology to improve doctor-patient-communication and support the social support system of patients, e.g. by including relatives, caregivers and other close relationships of patients

The Effect of Screen Time on Sleep (F.LUX) - Centre for Digital Mental Health

The Effect of Screen Time on Sleep (F.LUX) is a project that examines the effects of automated diurnal variation in electronic screen temperature (i.e., automatically filtering blue light on screens in the evening) on sleep quality using a blinded, randomized controlled design.

Understanding how digital technology is impacting young people - National Mental Health Commission