政大學術集成


Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/75687


Title: Logging and analyzing long-term mobile user behavior
Authors: Wu, Hui Yin
吳蕙盈
Liao, Wen-Hung
廖文宏
Chen, Po-Ming
陳柏銘
Hsu, Chih Yu
許志毓
Li, Tsai-Yen
李蔡彥
Contributors: 數位內容碩士學位學程;資科系
Keywords: consumption behavior;data acquisition;information technology;Internet;mobile communication
Date: 2014-12
Issue Date: 2015-06-11 13:40:22 (UTC+8)
Abstract: With the rapid evolution of mobile devices, the usage patterns of applications on these devices also change over time. Recently, the topic of how user behavior and usage patterns of applications has adapted to new mobile devices such as smartphones has attracted much attention. This work presents an experimental platform that can log and analyze all user operations on a smartphone used in a real-life context over long periods of time. The collected data are transmitted to a server periodically whenever an Internet connection is available. Analytic tools such as charting, log query, and real-time log pattern analysis have also been developed to facilitate the study of user behavior. This paper illustrates the functionalities of the proposed platform through several examples and a sample case study.
Relation: International Journal of Electronic Commerce Studies, 5(2), 161-180
Data Type: article
DOI link: http://dx.doi.org/10.7903/ijecs.1349
Appears in Collections:[Digital Contents & Technology] Periodical Articles

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