基于用户情绪的汽车用户质量评价的研究

Research on Automotive Quality Evaluation Based on User Emotions

为了提高汽车产品质量的用户满意度,在原有的汽车售后质量维修数据基础上增加用户情绪维度,建立一个用户质量的评价方法和量化模型。通过用户对质量需求的差异性,得出不同问题类型、用车时长和车型平台的用户对于车辆不同质量问题的抱怨程度,从而得出问题的严重程度和解决优先级。本文针对用户质量的量化评价结果不仅可以预警风险高的问题、减轻用户抱怨,同时为设计端与制造端的质量改进提供数据支撑。

In order to improve user satisfaction with the quality of automotive products,user sentiment dimensions are added to the existing after-sales quality maintenance data of automobiles,establish an evaluation method and quantitative model for user quality.By analyzing the differences in quality requirements among users,we can determine the level of complaints from users of different problem types,vehicle usage durations,and vehicle platforms regarding different quality issues in their vehicles.To determine the severity of the problem and the priority of resolution.The quantitative evaluation results of user quality in this article can not only alert high-risk issues and alleviate user complaints,but also provide data support for quality improvement at the design and manufacturing ends.