Carnegie Mellon University/2022
Carnegie Mellon Cognitive Modeling for Complex UIs
GOMS predictive modeling, Fitts' law trajectory benchmarking, and cognitive load minimization in enterprise software.
Rigorous academic study of human motor and cognitive limits when navigating dense professional applications.
Conducted empirical reaction-time studies to optimize high-frequency data inputs for trading and mission-critical operators.
KEY COMPETENCY:
Mathematical precision applied to user workflows, reducing repetitive strain and execution latency.
ISSUERCarnegie Mellon University
YEAR2022
CREDENTIAL IDCMU-HCII-50491
SKILLS VERIFIED
Cognitive ModelingGOMS AnalysisFitts' LawInterface Density
