Data-Driven Password Meter
CUPS Research Lab, 2017 Best Paper Award at Computer Human Interaction (CHI)
When I joined this project, my team had developed 20+ scoring metrics to rate the strength of passwords. I developed a user flow that gives general tips based on the typed password and offers tailored suggestions to improve it. The feedback aims to teach the user what makes a weak/strong password so they will make better passwords in the future.
We tested this improved meter with 4,509 online participants and published the results in a paper at CHI 2017.