Affect IN has developed a technology to assess cognitive and affective state in near real-time by monitoring patterns of electrical brain activity from a wireless headset. This involves identifying idiosyncratic patterns of brain activity that can be monitored during gaming, enabling the cognitive state and well-being of the gamer to be assessed continuously. This provides data that can be used by the individual to maximise gaming performance and optimise well-being during gaming. However, classifying brain activity into different cognitive states is challenging and our estimates may diminish in accuracy over time. This project will allow Affect IN to work with the Newton Gateway to Mathematics to use cutting edge statistical and machine learning methods to refine the estimates of cognitive state, making our service more reliable, and our processes more efficient. This will support our aspirations to grow Affect IN rapidly to provide gamers with targeted support to improve performance and optimise well-being.

Profile Wizard, pWizard, will develop a revolutionary software technology that will provide an accessible and rich User Experience (UX) for individuals managing their own health, applied to an officially recognised health and wellbeing product, Lincus. pWizard will be led by SME Rescon along with exceptional technologists from Liverpool John Moores and Liverpool Universities, Citrus Suite and Affect_In. pWizard will assist individuals so they can easily register and log in to Lincus. It will tailor an individual’s UX based on preference and personality tests that will be fun to complete. pWizard will allow individuals to choose whether to have their emotions and vital signs recorded whilst using the platform using a state of the art video capture technologies. Together all the information will be taken, including Lincus wellbeing data to enrich the UX, predict negative events before they happen, and recommend interventions to get people on the right path by using best in class machine learning technologies. The outputs may also be used by social and health care providers to assist them in decisions so they can provide the best possible care for the individuals they support.