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1 1 1 1,,.,,,.,,,.,,,,.,,,.,.,,,,,,,,,,,,,,.,,,. The Mobile Household Budget System using Money Flow Context Kenzo NIRASAWA, 1 Buntaro SHIZUKI 1 and Jiro TANAKA 1 Many household budget applications for mobile devices are widely used as cellphones and smartphones become widespread. They have an advantage that enable users to input and check account information outdoors. Meanwhile, such mobile household budget applications only provide pull-based information presentation. However, 1) pull-based information presentation cannot inform users of what they bought and how much they spent just before their purchase. 2) Existing applications mainly gather and use information about Item (what item users bought), Price (how much they spend on it), and Date (what day they bought it). Information other than Item, Price, and Date is not used. We consider these other information increase the range of analysis. 3) Existing applications analyze the information on monthly basis or item basis. In this research, we defined Money Flow Context as a situation when users made a purchase. It contains not only Item, Price, and Date, but also where, what time, rest of the money, whether, temperature, frequency of purchase. We implemented two systems, a push-based account information presentation system and a system that visualizes purchase history on the map. Both systems use Money Flow Context. We have conducted exploratory experiment to investigate these systems are how beneficial to users to get to know their tendency to how they spend money. 1., Web.,,,.,. Web,,.,,.,.,.,,.,.,.,,.,,.,.,,.,., GPS,,,, 1

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9 .,,.,,.,,,,,,. 1),,. Account reporter:. 72, March ) Jason Small, Asim Smailagic, and Daniel P. Siewiorek. Determining user location for context-aware computing through the use of a wireless lan infrastructure. Technical report, Carnegie Mellon University, ) Lionel M. Ni, Yunhao Liu, Yiu Cho Lau, and Abhishek P. Patil. Landmarc: Indoor location sensing using active rfid. Wireless Networks, Vol.10, No.6, pp , ),,,,... NS,, Vol. 104, No. 689, pp , ) Julia Schwarz, Jennifer Mankoff, and H. Scott Matthews. Reflections of everyday activities in spending data. In CHI 09: Proceedings of the 27th international conference on Human factors in computing systems, pp , New York, USA, April ACM. 6) Kestner John, Leithinger Daniel, Jung Jaekyung, and Peterson Michelle. Proverbial wallet: Tangible interface for financial awareness. In TEI 09: Proceedings of the 3rd International Conference on Tangible and Embedded Interaction, pp , Cambridge, UK, February ACM. 7) Gediminas Adomavicius and Alexander Tuzhilin. Using data mining methods to build customer profiles. Computer, Vol.34, pp , ) Amazon.com. 9) Duen-Ren Liu and Ya-Yueh Shih. Integrating ahp and data mining for product recommendation based on customer lifetime value. Information & Management, Vol.42, No.3, pp , ) Kiyoharu Aizawa, Datchakorn Tancharoen, Shinya Kawasaki, and Toshihiko Yamasaki. Efficient retrieval of life log based on context and content. In CARPE 04: Proceedings of the 1st ACM workshop on Continuous archival and retrieval of personal experiences, pp , New York, NY, USA, October ACM. 11).., Vol.50, No.7, pp , ) Gregory D. Abowd, Christopher G. Atkeson, Jason Hong, Sue Long, Rob Kooper, and Mike Pinkerton. Cyberguide: a mobile context-aware tour guide. Wireless Network, Vol.3, No.5, pp , ),,.. WISS 2008: 16, No.58, pp , 2008.

3_23.dvi

3_23.dvi Vol. 52 No. 3 1234 1244 (Mar. 2011) 1 1 mixi 1 Casual Scheduling Management and Shared System Using Avatar Takashi Yoshino 1 and Takayuki Yamano 1 Conventional scheduling management and shared systems