# Review of Studies on User Research Based on EEG and Eye Tracking
## 6 Conclusions  
In this review, we examined the research indicators, paradigm, and scope of EEG and eye-tracking methods in the field of user research. However, the number of studies that truly combined these two technologies and fully applied them to study user characteristics, behaviors, and habits was limited. The contributions of this review lie in four aspects.  
First, it provided an overview of the common indicators used in eye-tracking and EEG signal acquisition in the field of user research, including pupil diameter, pupil position, eye fixation time, as well as ERP components such as \(\delta\), \(\theta\), \(\alpha\), \(\beta\), and \(\gamma\), five rhythm waves, and P1, P2, P3 (P300), N1, N2 components, and elaborated on the relevant research paradigms and the relevant information of equipment connectivity. This information can help other researchers understand and choose suitable indicators for their own research. Second, it summarizes the application areas of user research, including the human-computer interactions, appearance forms, usability and ease of use of industrial products, digital interface interactions, public navigation systems, transportation systems, and consumer spaces. This can help other researchers understand the applications of this technology in different fields. Third, it points out the shortcomings in the current research, including the limitations of current EEG and eye-tracking devices in conducting experiments in outdoor environments, the long preparation time of EEG experimental equipment, and the existence of errors and limitations in the accuracy of physiological signal acquisition. This information can provide other researchers with directions to improve research design and equipment performance. Fourth, it outlines future research directions, including multi-sensory and behavioral interaction research, and multi-technology fusion ubiquitous research. This can help other researchers understand future development directions in this field. In summary, this study provides an overview of the research indicators, research paradigms, application areas, existing shortcomings, and future research directions for eye-tracking and EEG signal acquisition in user research, providing important reference information for other researchers in this field for further research. We hope that this survey can help those who are interested in trying to apply EEG and eye-tracking technology to the field of user research to quickly browse the research status of this field.  
Conceptualization, L.Z. and J.L.; methodology, L.Z.; validation, J.L.; investigation, L.Z. and J.L.; resources, J.L.; writing--original draft preparation, L.Z.; writing--review and editing, L.Z. and J.L.; visualization, L.Z.; supervision, J.L.; project administration, L.Z. and J.L. All authors have read and agreed to the published version of the manuscript. This research received no external funding.  
Not applicable.  
This research was partially supported by the Human-Computer Engineering Laboratory of Nanjing Forestry University.  
The authors declare no conflict of interest.  
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