Personal Visual Analytics for Personal Finance and TimeManagement

Even if people have access to a past history of how they spend their time and

their money, it can be challenging to make sense of past patterns in order to

make decisions about how to better use their time and money in the future. By

enabling past patterns to “pop out” visually, interactive visual representations

have the potential to make analysis of personal data easier. However, many

visualization tools are complex and aimed at experts. Our goal is to understand

how to design visual representations that anyone can understand.

The two interns will explore the design space of visual interfaces for managing

and understanding patterns in personal data (personal finance data and time

management data). They will explore various visual ways to represent the data to

make it easier for everyday people to understand their current use of time /

financial spending behaviour. Exploring the design space will be accomplished

by developing and informally evaluating a series of prototype visual interfaces.

Faculty Supervisor:

Melanie Tory;Kirstie Hawkey

Student:

Partner:

SAP Canada Inc (Vancouver, BC)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University; University of Victoria

Program:

Accelerate

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