Implementation of real-time online mouse tracking on overseas quiz session

Purnama, Fajar; Sukhbaatar, Otgontsetseg; Choimaa, Lodoiravsal; Usagawa, Tsuyoshi

doi:10.1007/s10639-020-10141-3

Cited by 6 publications

(9 citation statements)

References 67 publications

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“…Finally the information is either stored locally or sent to a server using hyper text transfer protocol (HTTP) post method. Traditionally, the information is transmitted all at once at the end of the session, but in our study [31], we found that it is better to transmit them in real-time without delay. The difference between offline, regular online, and real-time online mouse tracking is shown in Fig.…”

Section: Mouse Tracking In Web Developmentmentioning

confidence: 70%

“…According to an article by Adekitan et al [40], Nigerian University Internet traffic can reach terabytes (TB) in a week and is regarded as big data. The authors' previous mouse tracking session [31] also reaches the same level of Internet traffic if over 100 students are present. Other than volume, mouse tracking met the other 5Vs criteria of big data [17]: velocity, the amount of data generated especially in real-time which is explained in further sections, veracity; meaning that data loss may often occur due to limited connectivity, which can lead to inconsistent data; variety, which is discussed in further sections and previous work [31]; and value, which is discussed in the next paragraph.…”

Section: Default Eye and Mouse Tracking Generates Big Datamentioning

confidence: 84%

“…The implementation of mouse tracking is based on DOM events, specifically mouse, touch, and user interface (UI) events which are actions that occurs as a result of the user's mouse actions or as result of state change of the user interface or elements of a DOM tree [37]. Our previous work [31] uses jQuery to access the DOM API and receives information that are related to mouse, touch, and UI events. They can be stored into default dynamic variables or in an ArrayBuffer for enhanced performance.…”

Section: Mouse Tracking In Web Developmentmentioning

confidence: 99%

“…2 Flow chart of traditional and current mouse tracking method [31]. The left flowchart is offline mouse tracking, the middle flowchart is regular online mouse tracking, and the right flowchart is real-time online mouse tracking [39], mouse tracking data and other event data generated by approximately 22 students reaches approximately 100 megabytes (MB) in only 2 h [31], and that figure will double if eye tracking is included. Imagine how much data would be produced by a university with a large number of students if mouse tracking were running on its website for years.…”

Section: Default Eye and Mouse Tracking Generates Big Datamentioning

confidence: 99%

“…The overall system is the same as in the authors' previous work [31] with the concept discussed in "Mouse tracking in web development" section. In this section, the implementation of the concept to system is discussed.…”

Section: System Overviewmentioning

confidence: 99%

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Using real-time online preprocessed mouse tracking for lower storage and transmission costs

Purnama

Usagawa

2020

J Big Data

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IntroductionWe are living in the age of information where information and communication technologies are becoming mainstream [1]. Computers and the Internet have become inseparable from our daily lives. It is now possible to do many things without the need to travel and wait; examples include, long-distance communication through online text, voice and video calls, social interaction via social media, online learning, ecommerce or online shopping, and many forms of entertainments such as online music, online videos, and online games. Most importantly, the Internet has become the primary source of information around the world.Online analytics has become a major area of interest because it enables the study of users' online behaviors. These include, users' attentions and, students' performance in online learning. Businesses also use online analytics to capture consumers' interests in AbstractPageview is the most popular webpage analytic metric in all sectors including blogs, business, e-commerce, education, entertainment, research, social media, and technology. To perform deeper analysis, additional methods are required such as mouse tracking, which can help researchers understand online user behavior on a single webpage. However, the geometrical data generated by mouse tracking are extremely large, and qualify as big data. A single swipe on a webpage from left to right can generate a megabyte (MB) of data. Fortunately, the geometrical data of each x and y point of the mouse trail are not always needed. Sometimes, analysts only need the heat map of a certain area or perhaps just a summary of the number of activities that occurred on a webpage. Therefore, recording all geometrical data is sometimes unnecessary. This work introduces preprocessing during real-time and online mouse tracking sessions. The preprocessing that is introduced converts the geometrical data from each x and y point to a region-of-interest concentration, in other words only heat map areas that the analyzer is interested in. Ultimately, the approach used here is able to greatly reduce the storage and transmission cost of real-time online mouse tracking.

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Section: Mouse Tracking In Web Developmentmentioning

confidence: 70%