Reflections of everyday activities in spending data

Authors:
Julia Schwarz;Jennifer Mankoff;H. Scott Matthews
Affiliations:
University of Washington, Seattle, WA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2009

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Abstract

In this paper we show that financial information can be used to sense many aspects of human activity. This simple technique gives people information about their daily lives, is easily accessible to many at no extra cost, requires little setup, and does not require the manufacture of any external devices. We will focus on how financial data can be used to show users where they spend their time, when they accomplish certain habits, and what the impact of their activities is on the environment. We validate our idea by implementing three demonstration applications intended for personal use. Finally, this paper discusses limitations of sensing using financial data and possible solutions.