I currently work as a software Engineer for Sage, and a visiting research fellow at the University of Manchester. I obtained my PhD in computer science from my work in the HCI domain. I researched the use of pupillary response as a proxy to sense arousal, while also using eye-tracking technology to identify the user’s focal attention during moments of increased arousal. Future research interests include 1. The use of unobtrusive technologies for affect detection in naturalistic settings, 2. The use of conversational voice interfaces in public spaces.
PhD, Computer Science, 2019
University of Manchester
MSc. Software Engineering (Distinction), 2013
University of Manchester
B. Eng., ICT (2:1), 2009
Covenant University, Nigeria
Glycemic Index (GI) is a relative ranking of carbohydrate in foods according to how they affect blood glucose levels. Different classes and quantity of food have different GIs. Our research takes an in-the-wild approach to observe the influence of GI on motivation and mood in the workplace.
I’m the senior backend developer on the project to deliver an open source systematic review software. This project fascilitates a systematic review research from the conceptual definition to generating a prepopulated document that forms the framework of the final paper.
Using the average commuting gait speed, sentiment analysis of tweets within the community, contextual information such as weather information and community events, and self-reported emotions as ground truth, I am part of a team at the University of Melbourne, investigating a multi-modal, non-intrusive approach to sense the mood of a community
Arousal is often used as a proxy to measure stress, frustration, anxiety, boredom and attention which are of particular interest to researchers of behavioral science and HCI. Our goal is to develop a method to sense arousal during user interaction with interactive contents. Our method analyzes pupillary response from eye trackers but has the potential to be deployed in future web cameras which is useful in non-laboratory settings.