Reflections of everyday activities in spending data

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.

REFERENCES

• 1: An Average Consumer's Spending. http://www. nytimes.com/interactive/2008/05/03/business/20080403_SPENDING_GRAPHIC.html.
• 2: Bush, V. (1945) As we may think. The Atlantic Monthly, 176(1):101--108.
• 3: Igor V. Cadez , Padhraic Smyth , Heikki Mannila, Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.37-46, August 26-29, 2001, San Francisco, California [doi>10.1145/502512.502523]
• 4: Jim Gemmell , Lyndsay Williams , Ken Wood , Roger Lueder , Gordon Bell, Passive capture and ensuing issues for a personal lifetime store, Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences, October 15-15, 2004, New York, New York, USA [doi>10.1145/1026653.1026660]
• 5: Gasoline and Diesel Fuel Update. http://tonto.eia.doe.gov/oog/info/ gdu/gasdiesel.asp.
• 6: Matthew L. Lee , Anind K. Dey, Lifelogging memory appliance for people with episodic memory impairment, Proceedings of the 10th international conference on Ubiquitous computing, September 21-24, 2008, Seoul, Korea [doi>10.1145/1409635.1409643]
• 7: Matthews, S&Lave, L. (2000) Applications of environmental valuation for determining externality costs. Environ. Sci. Technol., 1390--1395.
• 8: Natural Gas Prices (2008) http://tonto.eia.doe.gov/dnav/ng/ng_pri_sum_dcu_nus_m.htm.
• 9: Padgett, JP. , Steinemann, A.C., Clarke, J.H.&Vandenbergh, M.P. (2008) A Comparison of Carbon Calculators. Environmental Impact Assessment Review, 106 -- 115.
• 10: John F. Pane , Brad A. Myers, Tabular and Textual Methods for Selecting Objects from a Group, Proceedings of the 2000 IEEE International Symposium on Visual Languages (VL'00), p.157, September 10-13, 2000
• 11: Using Financial Data to Extract Information About Social Networks. http://www.freepatentsonline.com/y2008/0082349.html.
• 12: U.S. Electric Utility Sales, Revenue and Average Retail Price of Electricity. http://www.eia.doe.gov/cneaf/electricity/page/at_a_glance/sales_tabs.html.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

General Terms:
Human Factors

Keywords:
context-aware computing, ubiquitous computing