Supporting Mental Well-being and Savouring at Work with Personalized AI Generated Images 

Workplace wellness programs often fail to improve mental health due to minimal uptake and engagement. Digital tools for mental health support are becoming increasingly popular; however, work programs are typically delivered through in-person formats, and focus on more severe forms of support (e.g., offering leaves of absence). As such they limit engagement, and lead to requiring mental health treatment instead of supporting active prevention. This project examines how wellness strategies can be more effectively supported digitally and enable mental health promotion, with a focus on savouring positive experiences.   

While photos are a popular method for fostering savouring in everyday life, people do not typically have photos of work contexts. We will explore how generative AI can create meaningful and memorable images of work life and investigate whether integrating these into everyday work technologies such as calendars can boost positive emotions and motivate the uptake of wellness strategies personalized to work life. Research findings are expected to aid in gaining deeper insights into the development of health-related apps, allowing for the discovery of new intervention strategies and feature possibilities for systems that can better support worker mental health. 

This project is co-funded in partnership with Mitacs and iA Financial Group.

  • Molly is a second-year Master’s student in Computer Science at the University of Victoria, specializing in Human-Computer Interaction. Her research focuses on how technology can better support mental health and well-being by integrating fun, whimsy, and creativity into digital tools. She is particularly interested in designing systems that help people appreciate positive experiences and bring moments of joy into everyday life. Her long-term goal is to work in the positive technology space, using technology as a tool to support mental health.