Donkin Christopher, Brown Scott D, Heathcote Andrew, Marley A A J
School of Psychology, University of Newcastle, Callaghan, Newcastle, NSW, 2308, Australia.
Psychol Res. 2009 May;73(3):308-16. doi: 10.1007/s00426-008-0158-2. Epub 2008 Aug 13.
Identification accuracy for sets of perceptually discriminable stimuli ordered on a single dimension (e.g., line length) is remarkably low, indicating a fundamental limit on information processing capacity. This surprising limit has naturally led to a focus on measuring and modeling choice probability in absolute identification research. We show that choice response time (RT) results can enrich our understanding of absolute identification by investigating dissociation between RT and accuracy as a function of stimulus spacing. The dissociation is predicted by the SAMBA model of absolute identification (Brown, Marley, Dockin, & Heathcote, 2008), but cannot easily be accommodated by other theories. We show that SAMBA provides an accurate, parameter free, account of the dissociation that emerges from the architecture of the model and the physical attributes of the stimuli, rather than through numerical adjustment. This violation of the pervasive monotonic relationship between RT and accuracy has implications for model development, which are discussed.
对于在单一维度上排序的可感知辨别刺激集(例如线的长度),识别准确率非常低,这表明信息处理能力存在根本限制。这一惊人的限制自然导致在绝对识别研究中专注于测量和建模选择概率。我们表明,通过研究选择反应时(RT)与准确率之间随刺激间距变化的分离情况,选择反应时结果可以丰富我们对绝对识别的理解。这种分离由绝对识别的SAMBA模型预测(Brown、Marley、Dockin和Heathcote,2008),但其他理论难以解释。我们表明,SAMBA通过模型架构和刺激的物理属性,而非通过数值调整,对出现的分离提供了准确的、无参数的解释。这种对RT与准确率之间普遍单调关系的违背对模型发展具有影响,将对此进行讨论。