Abstract
Recently, the global mobile device market is growing up and the functionalities of the mobile devices expand continually. As the expansion of mobile device usage and functionality, it is possible to collect various kinds of personal information such as photographs, GPS coordinates, and multimedia contents. Some researchers have studied data management and transfer of personal information collected in mobile environment. Also, many applications are developed for managing and transferring mobile personal information to a personal computer. However, new technology for effective management and visualization as well as data transfer is necessary to overcome difficulties to manage and interpret the information. In this paper, we propose an application with effective interface for search, summarization and analysis about mobile personal information. It also provides statistical analysis and visualization of user’s movement patterns on the map which uses NAVER map Open API (open map API provided in Korean website).
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References
Gemmell, J., Bell, G., Lueder, R.: MyLifeBits: Personal database for everything. Communications of ACM 49(1), 88–95 (2006)
Raento, M., Oulasvirta, A., Petit, R., Toivonen, H.: ContextPhone: A prototyping platform for context-aware mobile applications. IEEE Pervasive Computing 4, 51–59 (2005)
Hartnell-Young, E., Vetere, F.: Lifeblog: A new concept in mobile learning? In: Proc. of the IEEE Int. Workshop on Wireless and Mobile Technologies in Education, pp. 1–5 (2005)
Nokia Photo, http://europe.nokia.com/get-support-and-software/download-software/nokia-photos
Micrsoft Windows Mobile, http://www.microsoft.com/windowsmobile/
Hwang, K.-S., Cho, S.-B.: Modular Bayesian networks for inferring landmarks on mobile daily life. In: The 19th Australian Joint Conference on Artificial Intelligence, pp. 929–933 (2006)
Korb, K.B., Nicholson, A.E.: Bayesian Artificial Intelligence. Chapman & Hall/CRC (2003)
Horvitz, E., Dumais, S., Koch, P.: Learning predictive models of memory landmarks. In: CogSci 2004: 26th Annual Meeting of the Cognitive Science Society, pp. 1–6 (2004)
Hwang, K.-S., Cho, S.-B.: Life log management based on machine learning technique. In: Proc. of IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008), pp. 691–696 (2008)
Brooke, J.: SUS: A “quick and dirty” Usability Scale, Usability Evaluation in INdustry. Taylor and Francis, London (1996)
Korb, K.B., Nicholson, A.E.: Bayesian artificial intelligence. Chapman & Hall/ CRC (2003)
Dourish, P.: What we talk about when we talk about context. Personal and Ubiquitous Computing 8(1), 19–30 (2004)
Korpipaa, P., Mantyjarvi, J., Kela, J., Keranen, H., Malm, E.-J.: Managing context information in mobile devices. IEEE Pervasive Computing 2(3), 42–51 (2003)
Krause, A., Smailagic, A., Siewiorek, D.P.: Context-aware mobile computing: Learning context-dependent personal preferences from a wearable sensor array. IEEE Transactions on Mobile Computing 5(2), 113–127 (2006)
Rhee, Y.-H., Kim, J.-H., Chung, A.: Your Phone Automatically Caches Your Life. ACM Interactions, 42–44 (July-August 2006)
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Jung, Tm., Lee, YS., Cho, SB. (2010). Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network. In: Kang, BH., Richards, D. (eds) Knowledge Management and Acquisition for Smart Systems and Services. PKAW 2010. Lecture Notes in Computer Science(), vol 6232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15037-1_19
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DOI: https://doi.org/10.1007/978-3-642-15037-1_19
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