Attention is an important part of everyday functioning. We use it to interact with the world around us and take in new information. ‘AttentionTrip’ is a sophisticated tool that allows clinicians and researchers to measure the different components of attention, while it feels like you are playing a videogame. With this tool, we can see how attention changes across age groups, and in the future how it may differ in clinical populations, like people with autism or ADHD. It also allows us to see if treatments being provided to people with attention-issues are actually working.
Wearable body sensors are groundbreaking in that they allow for continuous and unobtrusive physiological measurements. The promise is that someday soon, smartphones will monitor our bodily state and thus prevent all kinds of wellbeing implications: acute physiological issues like stroke or heart attack; less acute but still serious illness, such as chronic illnesses caused by destructive behavioural patterns; and everyday psychological experiences such as stress and bad mood. But this is not yet a plug and play matter; simply attaching a heart rate sensor does not fulfill this dream.
The proposed research project is to program artificial intelligence, as produced by technology company EAIGLE, to monitor animals’ behaviour at the Toronto Zoo. The program will be capable of distinguishing where animals are in their enclosures, between individual animals, and which behaviours they are producing under different contexts. This technology will allow zoos, conservation areas, and researchers to monitor how animals interact with their enclosures and throughout the day, allowing for improved habitats and improved data collection for future experiments. Dr.
The field of artificial intelligence is traditionally divided into two broad paradigms. On one hand there are symbolic, formal, procedural, deterministic, and/or rule-based methods that often rely on a set of atomic elements and rules operating on those elements. Sometimes they are as complex as a comprehensive reasoning system. It is relatively effortless to provide a few manual instructions to these systems, however, these instructions (i.e., rules) are labor-intensive and become unfeasibly time-consuming as the complexity of the system grows beyond a certain point.
There has been a dramatic increase in digital well-being products in recent years and there is a market saturated with ineffective user experiences and little to no sustainable, desired behavioural change. By assessing and enhancing the effectiveness of a personalized approach to digital well-being app interaction through machine learning and emotion-driven adaptive computing, we can develop a new, intelligent and highly effective digital well-being platform that can support lifestyle wellness behaviour change.
Urgent calls exist to address the mounting crisis of mental illness, and in particular posttraumatic stress disorder (PTSD), among public safety personnel (PSP; e.g., firefighters, police, paramedics) in Canada. Critically, PTSD is associated with alterations in cognitive functioning (e.g., poor memory and attention) that disrupt the ability of PSP to engage in activities such as work and family life. To date, however, no evidence-based treatment intervention exists to address cognitive dysfunction among PSP with PTSD.
SmartBody, SmartMind (SBSM) is a 12-week online intervention combining elements of movement, mindfulness, education, and psychologically-informed coping strategies. SBSM’s philosophy is that there are physical, emotional, and psychological dimensions to all disorders. Accordingly, SBSM offers a variety of therapeutic techniques through a variety of modalities, so that each individual may tailor their own healing. While SBSM’s approach aligns closely with leading edge research on trauma, chronic pain, and other conditions, it has never been formally evaluated.
Many children with Autism Spectrum Disorders (ASD) have problems with attention and executive functions (EF). Cognitive interventions have great potential to improve attention/EF and related skills (e.g., academic learning, social function, behaviour etc.), but few such interventions exist with even fewer that can be delivered at home. In light of COVID-19, parent-delivered interventions are crucial for continuity of healthcare for children with ASD. We will evaluate the efficacy of a new attention/EF intervention (Dino Island), as delivered by parents at home to their children with ASD.
While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development.
The proposed research project is the virtual delivery of an existing program provided by the partner organization, Calgary Reads. LENA Start is a group program offered to parents of children aged 6 months to 3 years. The goal of the program is the provide parents with information regarding language development in the home and practical strategies to both increase parent language and conversational turns between the caregiver and child as well as increase parent knowledge and child language outcomes.