Neural decision-making application of Internet product interaction design based on EEG

Abstract

The rapid development of information technology and the rapid growth of "Internet +" have brought many new challenges to human factors science. At present, in the practice of information product design that emphasizes user experience, new human factors measurement methods and tools are urgently needed to evaluate the effect of product interaction design more accurately and objectively, and to provide theoretical support and basis for product design and decision-making. Different from traditional human factors research methods, neural measurement overcomes the subjective bias of questionnaires, scales and other methods, and can dynamically grasp the user's cognitive process of products with millisecond precision in the process of users' cognition of products. Design practice provides the basis and guidance for neurological decision-making. On the basis of the comprehensive evaluation of the neural mechanism, neural decision-making and emotional experience in the product interaction design, an interaction design scheme in line with neurocognitive science is proposed. The established indicator threshold ranges are compared to determine the range of user experience; longitudinal comparison refers to comparing with the plan before design intervention to test whether the optimization effect is significant. With the help of neural evaluation indicators, the design scheme is finally determined.Misoperations during the use of Internet products are usually caused by factors such as inattention and identification errors. Therefore, it is very important to study the influence of various design elements on the components of the attentional neural response, including latency, amplitude, and response position. Focus on two cognitive neural components N2 and LPP, N2 is a cognitive neural response component of early attention, LPP is a neural component related to attention after full cognition, and reflects the user's emotional changes, which is an important part of emotional experience. Cognitive Neural Indicators. Existing studies have shown that product decision-making is related to the P300 component in cognitive nerves. In interaction design, the P300 amplitude corresponding to easily recognizable icons is greater than the P300 amplitude corresponding to difficult-to-recognize icons.This paper firstly summarizes and sorts out the research progress and related achievements of domestic and foreign scholars in the past five years from the aspects of cognitive ability research of product interaction design and neural decision-making technology of product interaction design scheme. Secondly, it puts forward a detailed review of the research objectives and technical routes of neural decision-making in interaction design, and summarizes the current application fields of neural decision-making in Internet product interaction design based on EEG. The source of electrical data and other issues, and the prospect of EEG neural decision-making in the field of Internet product interaction design research.