![]() In a search session, users can be identified using cookies, identd protocol, or their IP address. ![]() This software also generates a log analysis which summarizes user cursor activity. One of these monitoring tools, SMT2є, collects fifteen cursor features and uses the other fourteen to predict the last feature's outcome. Technology that is used to record such behavior can also be used to predict it. Hypermedia is used to create such visualizations that allow for behavior like highlighting, hesitating, and selecting to be monitored. The collected mouse data can be used to create videos, allowing for user behavior to be replayed and easily analyzed. However, more modern tracking software utilizes JavaScript in order to track cursor behavior. User browsing behavior is often tracked using server access logs which contain patterns of clicked URLs, queries, and paths. Measures to increase privacy in this realm can reduce functionality by blocking features. Browser fingerprints can change over time from automatic software updates or user browser preference adjustments. HTTP headers, JavaScript, and browser plugins can be used to build a fingerprint. A browser fingerprint contains information about a device, its operating system, its browser, and its configuration. In this process, information about a user is collected from their web browser to create a browser fingerprint. This is an example of recorded gaze-tracking for multiple participants.īrowser fingerprinting is another means of identifying users and tracking them. Such tracking in a remote environment is denoted as a remote logging technique. Algorithms can use mouse movements to predict and trace user eye movements. Mouse and keyboard activity can be measured remotely, so this quality can be capitalized for usability testing. However, in order to track user eye movements, a lab setting with appropriate equipment is often required. Įye-movement tracking is also applied in usability testing when creating web applications. They improved the interface to incorporate gaze better. Hence, researchers created their own web browser called GazeTheWeb (GTW), and the focus of their research was on the user experience. This causes tasks to take additional time. The experience is also difficult because users have to first imagine how to complete the task using keyboard and cursor features and then employ gaze. In this process, the gaze-tracking system is separated into its own panel in the system interface, and the user experience of this system is compromised as individuals have to switch between the panel and the other interface features. Systems that employ gaze-tracking often try to mimic cursor and keyboard behavior. Gaze-tracking technology is especially beneficial for those with motor disabilities. Īnother means of obtaining user input is eye-tracking or gaze tracking. This discrepancy has been attributed to the public not understanding how information about them is getting collected. ![]() Research suggests that individuals are concerned with privacy, but they are less concerned with how TRTs are used daily. Examples of TRTs include radio frequency identification (RFID), credit cards, and store video cameras. Institutional TRTs and end-user TRTs differ by who is collecting and storing the data, and this can be respectively understood as institutions and users. Tracking and recording technologies (TRTs) can be split into two categories, institutional TRTs and end-user TRTs. Click tracking employs many modern techniques such as machine learning and data mining. A common utilization of click data from click tracking is to improve results' positions from search engines to make their order more relevant to users' needs. Email tracking, link tracking, web analytics, and user research are also related concepts and applications of click tracking. Ĭlick tracking is relevant in several industries including Human-Computer Interaction (HCI), software engineering, and advertising. Research has also been conducted to explore the user experience of privacy with making user personal identification information individually anonymized and improving how data collection consent forms are written and structured. Given that the internet can be considered a risky environment, research strives to understand why users click certain links and not others. However, as technology develops, new software allows for in depth analysis of user click behavior using hypervideo tools. This log is often presented in a standard format including information like the hostname, date, and username. Click behavior is commonly tracked using server logs which encompass click paths and clicked URLs (Uniform Resource Locator). Click tracking is when user click behavior or user navigational behavior is collected in order to derive insights and fingerprint users.
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