In this talk, Ranjitha Kumar discusses questions based on designs such as :
How to leverage data to build better design tools and scaffold the design process? How can one understand how to use designs to leverage preferred outcomes? She discusses design, icon and screen semantics to improve accessibility, and modeling brand perception.
Overview
Syllabus
Introduction.
leverage data to build better design tools.
How many steps should a checkout flow have to prevent user fatigue?.
PREFERRED OUTCOMES.
ERICA.
DATA CAPTURE AND REPRESENTATION.
TASK Add two songs to a new playlist that you create NUMBER OF TRACES 35.
DESIGN SEMANTICS FOR ANDROID APPS.
ICON SEMANTICS.
ICON CLASSIFICATION RESULTS.
SCREEN SEMANTICS.
FLOW SEMANTICS coux.design.
Interventions.
EXPERIMENTATION ENGINES.
FASHION PROBLEMS.
INTERACTION PATTERNS.
MINING POLYVORE.
VISUAL COMPATIBILITY MODEL.
THE ELEMENTS OF FASHION STYLE.
POLYLINGUAL TOPIC MODELS.
AUTOMATED PERSONAL STYLIST.
DEEP ARCHITECTURE.
STYLE- AND CONTEXT-BASED QUERIES.
SAME LOOK FOR LESS.
CAPSULE WARDROBES.
SUSTAINABLE DESIGN DATASETS?.
DATA-DRIVEN DESIGN THINKING.
DATA-DRIVEN DESIGN GROUP.
Taught by
Stanford Online
