Response time of temperature sensor is one important parameter which describes the dynamic test performance of temperature sensor. If the response time results were obtained by manual method during response time test, there would exist some problems, such as human factors, different results obtained from same response time data and different precision. Hence, the adaptive sequential optimization algorithm based on Kriging surrogate method was pro-posed to optimization fit against response time data. Through the theory step response curve fit with proper correction, the response time of temperature sensor was calculated. The results show that the proposed method could not only calculate the response time results automatically and precisely but also have the ability to make a quantification comparison with different test data of one same temperature sensor. Compared with the traditional manual method, the pro-posed method has the advantage that it has unified calculate precision, higher efficiency, and less human factors.