Open science is the concept of freely sharing data to the public. With large-scale data becoming more easily accessible to everyone, it is important to create a platform where the public can visit to analyze and interpret data. And although open science increases the accessibility of data and reports to the public, it does not reduce readers’ language barriers or increase statistical literacy.
There’s nothing quite as delightful as using a well-designed product, especially a piece of software. A field of research known as User eXperience (UX) tries to define measures that describe what a good design feels like. While conventional measures of UX for software work well (how long things take, whether you complete your task successfully), we suggest that tracking your eye and hands will reveal other useful information.
FSO (Family Services Ottawa) is a not-for-profit social service agency whose mission is to assist individuals, to build on their strengths and to improve their mental health. FSO does so by providing counselling, education, and advocacy within a context of working to foster systemic change. Although their programs are increasingly monitored and evaluated at the program level, FSO does not currently have a tool to assess and monitor their organization as a whole.
The historic events of the spring of 2020 - the collision of the worst public health crisis in a century and the largest Black civil rights movement in half a century - offer a unique opportunity to examine how the frustrations and hopes of Black young adults were affected. We sought to understand the potentially competing impacts that the public health and social justice crises have had on the young adults in their communities.
There is an urgent need to address the mounting crisis of mental illness, and in particular posttraumatic stress disorder (PTSD), among military members and Veterans in Canada. PTSD is associated with changes in cognitive functioning across multiple domains (e.g., poor memory and attention) that can negatively impact military members and Veteran. Goal Management Training (GMT) is a cognitive remediation strategy that has been found to improve memory, attention and ability to engage in complex reasoning in individuals with PTSD.
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.