Psychological Needs Analysis of Urban Tall Building Landscape Design Based on Affective Computing

Abstract

Abstract Landscape design is a human-centered service industry, which is bound to be improved according to the psychological needs of users. This paper starts from the graphical emotion dictionary, constructs the dictionary containing a three-part graph structure, calculates the positive and negative probability of the emotional tendency of <attribute, emotion word>, and judges the emotional extreme value of the text. According to the emotional extreme value to establish a theoretical model of implicit psychological needs of urban high-rise landscape design, combined with natural language processing and causal inference theory, to identify the causal relationship and psychological needs of the user’s emotional expression obtained, and to utilize the emotional correlation to weight the distance calculation, to ensure the relevance of the sample. Using the constructed emotional calculation model, calculate the psychological needs of users for urban high-rise landscape design, compare the emotional value of the design needs of different high-rise landscapes, and select the landscape design program that best meets the needs of users. Users’ psychological emotional needs are taken into account in the adjustment of their existing landscape design, and the impact of the improved design is evaluated. According to the findings, the landscape lake has the highest degree of aggregation for six psychological behaviors, with a degree of more than 80, and it reaches 93 when walking. Among the 21 subdivided psychological demand elements, only the quality grades of spatial sequence construction, maneuverability, and architectural involvement are other than average and poor, and the remaining 18 of them are all over good, which is a good effect of analyzing the psychological demand of users.