启发式
显著性(神经科学)
碰撞
启发式
计算机科学
运动学
基础(线性代数)
对象(语法)
人工智能
数学
几何学
计算机安全
物理
经典力学
操作系统
作者
David L. Gilden,Dennis R. Proffítt
标识
DOI:10.1037/0096-1523.15.2.372
摘要
In two experiments we investigated people's ability to judge the relative mass of two objects involved in a collision. It was found that judgments of relative mass were made on the basis of two heuristics. Roughly stated, these heuristics were (a) an object that ricochets backward upon impact is less massive than the object that it hit, and (b) faster moving objects are less massive. A heuristic model of judgment is proposed that postulates that different sources of information in any event may have different levels of salience for observers and that heuristic access is controlled by the rank ordering of salience. It was found that observers ranked dissimilarity in mass on the basis of the relative salience of angle and velocity information and not proportionally to the distal mass ratio. This heuristic model was contrasted with the notion that people can veridically extract dynamic properties of motion events when the kinematic data are sufficient for their specification.
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