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    • 3. 发明申请
    • MODELS FOR PREDICTING PERCEPTION OF AN ITEM OF INTEREST
    • 预测利益感的模型
    • WO2004051410A2
    • 2004-06-17
    • PCT/US2003/037715
    • 2003-11-25
    • GENERAL ELECTRIC COMPANYSINHA, MoitreyeeRANGARAJAN, PratimaGARDNER, Martha, M.WATKINS, VickiSENTURK, Deniz
    • SINHA, MoitreyeeRANGARAJAN, PratimaGARDNER, Martha, M.WATKINS, VickiSENTURK, Deniz
    • G06F
    • G06Q30/02
    • Statistical models for quantifying and predicting human perception (30) of scratches on automotive components are disclosed. Such models may be created by utilizing quantitative two-step moving scale surveys. Such surveys employ a continuous scale to model human perception and allow response bias and measurement error in survey data to be evaluated. Once survey data is collected, relationships between the visual perception of the scratches and the measurable optical properties associated with the scratches can be determined (37). Additionally, relationships between the visual perception of the scratches and the actual physical scratch dimensions can be determined. Thereafter, models for predicting the human perception of such scratches can be created therefrom (38). Since these models predict the results of such surveys, the need for repeatedly collecting survey data (34) is eliminated. These models may also be used for predicting human perception of other items of interest. Furthermore, the two-step moving scale surveys may be used in various kinds of surveys about any items of interest.
    • 公开了用于定量和预测汽车部件上的划痕的人感知(30)的统计模型。 这些模型可以通过定量两步移动规模调查来创建。 这样的调查采用连续的尺度来模拟人的感知,并且可以评估调查数据中的响应偏差和测量误差。 一旦收集了调查数据,可以确定划痕的视觉感知与与划痕相关的可测量的光学性质之间的关系(37)。 此外,可以确定划痕的视觉感知与实际物理划痕尺寸之间的关系。 此后,可以从中产生用于预测这种划痕的人的感知的模型(38)。 由于这些模型预测了这些调查的结果,因此消除了重复收集调查数据(34)的需要。 这些模型也可以用于预测人类对其他感兴趣项目的看法。 此外,两步移动规模调查可用于关于任何感兴趣的项目的各种调查。