This paper is to explore the impact of cognitive load on user behavior in perceptual experience, and to achieve the target task of efficiently completing user’s usage behavior. In the experience process, the interaction distance of the psychological dimension is shortened to create a deep-level sensory and emotional experience. From the perspective of perceptual experience, we deeply analyze user’s cognitive load behavior, construct a service model of perceptual experience based on user’s emotion from the perspective of cognitive load, obtain user’s emotional state with the help of PAD emotional spatial distance and Euclidean distance algorithms, and use service design methods to benchmark cognitive load contacts, and then adjust the user’s cognitive recognition path. By identifying user emotions, extracting negative emotion contacts, improving corresponding cognitive structure, and optimizing information presentation methods, it reduces the user’s emotional cognitive burden and improves user’s cognitive validity. Integrate multidisciplinary knowledge such as psychology, cognitive science and design to explore user psychology and focus on user needs and emotional experience. Form a consistent synaesthetic definition of the whole process of “perception recognition-cognition-perceptual experience-emotional evaluation”, reshape the cognitive behavior path in user experience, reduce the complicated perception and emotional load in the interaction process, and the effectiveness and feasibility of the method is verified by the design case of the sweat sugar detection APP.