The eye tracking model it contains self-calibrates by watching web visitors interact with the web page and trains a mapping between the features of the eye and positions on the screen. The findings provide guidelines for website managers and designers to maximize users' visual attention. Democratizing Webcam Eye Tracking on the Browser WebGazer.js is an eye tracking library that uses common webcams to infer the eye-gaze locations of web visitors on a page in real time. The load theory of attention was used to provide the explanation for the results. The desktop solution allows you to synchronize and analyze data from infrared eye trackers, and the Online Data Collection system allows for webcam-based eye tracking collected remotely. Through utilizing eye-tracking devices, one can measure how the user engages, takes in, and interacts with the content. iMotions offers two valuable solutions for eye tracking: our desktop application and Online Data Collection. However, when users conducted a complex task on a website with medium complexity, task completion time, fixation count, and fixation duration were all at their highest level. When it comes to website optimization and UX research, eye tracking is an extremely valuable and useful tool that can provide valuable insight to researchers and designers alike. Specifically, when users conducted a simple task, fixation count and task completion time were at the highest level on the website with high complexity, while fixation duration was not significantly different on the websites with different complexity. The results show that task complexity can moderate the effect of website complexity on users' visual attention and behavior. The study fills a research gap by examining this phenomenon from the cognitive load perspective and taking the moderate effect of task complexity into consideration. The study examines how website complexity and task complexity jointly affect users' visual attention and behavior due to different cognitive loads. This research used eye-tracker to track the eye-movement process for 42 college students when they were surfing websites with different levels of complexity and completing simple and complex tasks respectively. This is where the system is learning how a panelists eyes move when they are looking at certain parts of the screen. First, the process begins with calibration. Research shows that mouse and eye movement are highly correlated. A simple webcam watches the panelist while they perform a test on your images. See where your visitors are looking and what parts of the site theyre reading by visualizing their mouse movements. Website design significantly affects online shopping behavior. Eye-tracking is a state of the art process which tracks users eye movements. Websites are the important interfaces in HCI (Human–Computer Interaction). Online shopping is becoming one of the most popular applications on the Internet.