Redesigning a University Course for Diverse Learners
This large course presented an introduction to computer technology for students majoring in biology, kinesiology, psychology, and business. Based on student and stakeholder data, I made the topics more relatable, and facilitated asymmetric learning. My redesign was well-received by students. Participation increased 47%, and exam scores increased 12%.
Methods used: user interviews*, stakeholder interviews, collaborative design*, content audit, competitive analysis, qualitative surveys, quantitative surveys, metrics analysis, log analysis (*guerrilla methods).
Gathering Text Entry Metrics on Android Devices
Researchers require software to record performance metrics for text entry usability studies. Existing solutions worked only for desktop system, or required a separate solution for each new text entry technique. I designed and developed a mobile app that was agnostic to the method being evaluated, and facilitated ethnographic studies. It has been requested by more than 70 researchers globally, in both academia and industry.
Methods used: usability-lab studies (i.e., user testing), usability benchmarking, competitive analysis, quantitative surveys, metrics analysis, log analysis.
Optimizing Performance in Mobile Text Entry
After conducting a thorough examination of the benefits and drawbacks of existing text entry methods, I designed an optimized layout keyboard for Android devices. A longitudinal usability study revealed positive user feedback, and predicts better than Qwerty performance after only 12 hours of use.
Methods used: usability-lab studies (i.e., user testing), usability benchmarking, diary study, quantitative surveys, metrics analysis, log analysis, heuristic evaluation, user interviews, concept testing.