Attention has been a focal point for neuroscientists for decades, and the web provides them with a robust testing ground for pioneering techniques and ideas. The utilization of eye tracking has long been integral for neuroscientists in gauging attention. By analyzing the fixation duration on specific points, researchers can discern the significant elements for users, and designers can improve visual clarity and attract maximum attention. Tracking user behavior, such as touchscreen interactions, provides valuable data to optimize a website's design. Exploring machine learning for interpreting user behavior data could enhance personalized web experiences with valuable contributions from neuroscience. This study informs web designers and developers about leveraging advancements in neuroscience to improve user interaction and capture maximum attention in web design.
Keywords: Neuroscience, Web Design, Eye-Tracking, User Interaction, Visual Perception