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This goal of this project is to develop a Standards Proposal and initial framework to guide the use of online voting in municipal elections in Ontario. Elections in municipalities in Ontario are among the most digital in the world, yet there are no guidelines to shepherd use of the technology. Working with our partners we […]

Automatic speech recognition (ASR)-based services have become an indispensable part of our daily life, thanks to products such as Apple Siri, Google Home, and Amazon Alexa. More and more smart home appliances are also controlled by voice. However, most of these services rely on speech recognition and natural language understanding services running in the cloud, […]

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel […]

The proposed research is a collaboration between Virtro and SFU’s iVizLab to collaboratively work on ways to understand the processes involved in analyzing and visualizing 3D spatial data. iVizLab’s research focuses on AI based computational models, in this case a data visualization tool that help users analyze 3D spatial data. In creating this user interface, […]

As online educational platforms and blogs such as Coursera, Edublog, Korbit Technologies Inc. etc. are becoming increasingly popular, a great way for students to learn is to solve QA problems on educational texts. Students also learn by getting answers to their questions. Since manual QA generation of huge content of educational texts seems impracticable, an […]

Approximately 70% of data collected by ITOps is not actionable, either due to lack of timeliness or context, and real-time normalized data stored in a data lake is needed to produce actionable data. Also, AIOps tools are often poorly configured and lead to alert fatigue. The benefit to the partner organization is that they will […]

Since the mid 1980s, moving access points, such as Wi-Fi, closer to network devices has been the largest contributer to improved data rates and this trend continues, but its scope is more difficult for rural internet service providers. The second technique is from the choice of the assigned spectrum and how this choice relates to […]

This project will identify the necessary components for a high-quality mentorship program for workers in the Ontario manufacturing industry. Through review of existing mentorship programs, interviews with mentors and mentees, and a job analysis procedure for the mentor role, this research will assess the mentoring needs of manufacturing workers. The project will produce a task-based […]

This is a research project that will explore human’s relationships with houseplants in times of the COVID-19 pandemic and unpack the psychological, sociological, and environmental significance of these relationships. By digging deeply into our relationship with houseplants and creatively telling stories about them, the project seeks to uncover and deepen our connection with nature in […]

The immersive software market, which includes virtual, augmented and mixed reality, is expected to see tremendous global growth over the next five years as players from all sectors race to identify and capture market opportunities of the technology. This project investigates into the business and technical aspects of immersive training and maintenance applications by taking […]

The major contributing factor to waterborne outbreaks in Canada in small drinking water systems is the operators’ lack of technical expertise. Training of small system operators do not cover hands-on training specific to the treatment technologies used in their plants. A simplified smartphone app with real-time monitoring can assist the operators with the decision making […]