User Behavior Acquire Mechanism Under Windows Program Environment

碩士 === 國立中央大學 === 資訊管理學系 === 103 === With a collection of user behavior information to provide a personalized service and to improve the service quality has become increasingly important. How to accurately obtain user behavior when user using the service or application has become an important issue....

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Bibliographic Details
Main Authors: Lim Chun Yeong, 林俊勇
Other Authors: Yi-Ming Chen
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/87975229535001325574
Description
Summary:碩士 === 國立中央大學 === 資訊管理學系 === 103 === With a collection of user behavior information to provide a personalized service and to improve the service quality has become increasingly important. How to accurately obtain user behavior when user using the service or application has become an important issue. Currently, in the academic study has a number of mechanisms related research on user behavior acquired. One of the most famous practice was image recognition for acquisition user behavior, but its consumption performance, and at the same time it can’t properly identify and obtain user behavior under the picture dramatically. In the majority of studies conducted to identify only for a fixed window size. On the other hand, the most commonly used functions have provide a hotkeys to greatly enhance user interaction with the GUI interface, but these studies didn’t provide identification and obtain what function is the hotkeys was press. To improve these shortcomings, our study presents a user behavior acquire mechanisms under windows program environment, to recognize the whole windows program to get the user behavior on the program’s window. At the same time, our study also provide an automatic recalculation adjusted of this specified location for the changes of the windows program location, so that it’s possible to automatically identify and capture the user behavior when user change the windows program size and click on the specified location or specified button. We have completed a prototype system on Windows Operating System, also carried out two experiments. The results show that can correctly against Windows and GTK programs identify and obtain user behavior.