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Personal Productivity Analytics
To investigate how artificial intelligence techniques can be applied to improve productivity in computer-mediated work contexts, including email and messaging applications. We look at how to leverage features in data to make better guesses about when someone is productive, and create intelligent assistants to help people stay productive.
Faculty Supervisor:
Neil Ernst
Student:
Partner:
Shift Technologies
Discipline:
Computer science
Sector:
Information and cultural industries
University:
University of Victoria
Program:
Accelerate
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