감성 공학을 이용한 자동 변속감 정량화 측정에 관한 연구

This study was conducted to develop and validate a multidimensional measure of shift quality for automatic transmission passenger vehicles as perceived by drivers during kick-down shifting events. As part of the first study, a survey was conducted to identify primary factors to describe subjective shift quality among average drivers. A factor analysis on the survey data revealed four semantic subdimensions, which included responsiveness, smoothness, unperceivable, and strength. Based on the four descriptive terms, an evaluation form, including semantic scales on each subdimension, was developed and used for experiment in the second study. Consequently, a series of statistical analysis revealed the relationship between each subdimension on subjective quality and the corresponding mechanical properties. Models of comprehensive shift quality based on the ratings of the subdimensions for driving intentions and speeds were also developed. The study provided a unique framework to assess subjective driving quality related to mechanical control variables in a multidimensional way, which is applicable to improve the quality of a vehicle.