Research on Automobile HMI Scene Experience Based on Big Data Intelligent Computing and Density Clustering

Consumers' requirements for automobile HMI are no longer simple functional requirements, but higher-level scene experience and spiritual needs. Therefore, to measure whether a car's HMI is easy to use, we need to build an evaluation system in combination with the scene and consumers' needs. From the perspective of consumer demand, this paper uses big data text clustering analysis, factor analysis and other methods to build HMI experience evaluation system in the scene, build evaluation indicators and analyze the weight of indicators, and apply the evaluation system to analyze the experience evaluation, advantages and disadvantages of representative models, and explore the development trend of HMI.