
Data-Driven Password Meter
CUPS Research Lab, 2017 Best Paper Award at Computer Human Interaction (CHI)
I developed a user flow that considers 20+ password scoring metrics to give digestible tips and offer tailored suggestions to improve a typed password. The feedback emphasizes teaching 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.