# Review of Studies on User Research Based on EEG and Eye Tracking
## 1 Introduction
's [12] research showed that EOG signals recorded through EEG networks can obtain results as accurate as typical optical eye-tracking devices, and can simultaneously evaluate neural activity during all types of eye movements. The fusion research of electroencephalography (EEG) and eye-tracking research has to some extent made up for this deficiency. This method can not only correctly interpret eye-tracking data, but also objectively and accurately reflect users' psychological processes. Eye-tracking (ET) and electroencephalography (EEG) are widely used in user research, and a lot of research has been conducted on product aesthetics preferences, web browsing, and interest orientation. [PERSON] et al. [13] used EEG and eye-tracking devices to record subjects' brain activity and eye gaze data, which were quantified using neural attributes to measure the factors that affect product appearance and evaluation indicators. [PERSON] et al. [14] distinguished and quantified the visual aesthetics of products by integrating eye-tracking indicators and EEG measurements. [PERSON] et al. [5] evaluated the click intentions of network users by merging pupil dilation and EEG responses based on physiological analysis. [PERSON] et al. [15] systematically explained the brand and packaging of products from a neuroscientific perspective. We can interpret the brain and psychological activities of users when they browse specific advertisement information on a page, including attention level, memory, and emotional response. The combination of these tools and methods combines the intuitiveness of eye-tracking data, with the depth, accuracy, and comprehensiveness of EEG data, to provide almost all of the real idea information that users use when using products and demonstrating behaviors [16]. This approach can accurately locate the brain activity of users when observing and using experiences, and explore users' attitudes, emotions, and cognitive levels deep in their hearts [17]. These methods provide us with new research ideas and directions, and can provide us with more information to understand users' real ideas and product optimization suggestions. By reviewing the current literature and research, our goal is to help researchers understand the research metrics and paradigms of EEG and eye-tracking technologies, as well as the current state and limitations of their applications in various research domains; this provides valuable guidance and support to advance the field of user research. Eye-tracking signals allow us to precisely locate what attracts users' attention and observe their subconscious behavior; neuroscience explains the cognitive, emotional, and perceptual structures that support human decision making, and evaluates users' psychological states, thus providing a more rigorous analysis process for some research questions. We provide typical indicators and theoretical knowledge of EEG and eye-tracking, as well as user research of these tools and methods in industrial products, digital interfaces, public guidance systems, transportation systems, and other spaces. Finally, the discussion section analyzes the shortcomings of this technology in current research, and provides our suggestions for future research.