Chi C F, Chen C L
Department of Industrial Management, National Taiwan University of Science and Technology, Taipei.
Percept Mot Skills. 1997 Oct;85(2):723-35. doi: 10.2466/pms.1997.85.2.723.
This research investigated human visual sensitivity and bias in inspecting irregular objects. A preliminary study was conducted using the method of constants to determine the threshold value for judgment of size. A factorial experiment was conducted using payoffs, rate of defective items, and detectability in the signal-detection theory as the factors. In total, eight experimental conditions were tested. 10 college students were recruited as subjects. Each subject was asked to compare 40 teapot shapes to a standard teapot shape under eight experimental conditions. Defective shapes were generated by lengthening the vertical dimension of a standard teapot shape by a factor of 1.01 and 1.04 for 'low' and 'high' detectability. The decision time and responses of 'identical' or 'different' were collected under all experimental conditions. Analysis indicates that the decision-making strategy used to inspect this irregular object was very close to maximizing the accuracy of decision-making by considering the rate of defective items. This result is different from most research findings in signal-detection theory in which responses of human beings are similar to degraded Bayes optimizers. The standard deviation of the signal distribution was about 1.30 and 1.41 times that of the noise distributions for 'low' and 'high' detectability.
本研究调查了人类在检查不规则物体时的视觉敏感度和偏差。采用恒定刺激法进行了一项初步研究,以确定尺寸判断的阈值。以信号检测理论中的收益、次品率和可检测性为因素进行了析因实验。总共测试了八种实验条件。招募了10名大学生作为受试者。要求每个受试者在八种实验条件下将40个茶壶形状与标准茶壶形状进行比较。对于“低”和“高”可检测性,通过将标准茶壶形状的垂直尺寸分别延长1.01倍和1.04倍来生成有缺陷的形状。在所有实验条件下收集决策时间以及“相同”或“不同”的反应。分析表明,用于检查这种不规则物体的决策策略非常接近通过考虑次品率来最大化决策准确性。这一结果与信号检测理论中的大多数研究结果不同,在信号检测理论中,人类的反应类似于退化的贝叶斯优化器。对于“低”和“高”可检测性,信号分布的标准差分别约为噪声分布标准差的1.30倍和1.41倍。