COGNITIVE FOUNDATIONS OF STIMULUS-RESPONSE COMPATIBILITY

这项提案中描述的研究是一个更大的 旨在调查基本、基本认知的研究计划 人类的过程。在这里，我们关注的是一个经典问题 刺激反应兼容性。提出了一种新的模型，即 广泛地基于人类信息处理的基本原理。 我们将研究自动和受控处理的作用 刺激-反应相容的潜在机制。我们的 目标是提供一份系统的绩效报告 高度兼容、不兼容和不兼容的任务； 同时，为了更好地理解 控制这类任务中的表现的认知过程；关联 这项工作涉及到认识中的中心问题，并将其扩展到 对精神分裂症的认知搜索，以及一般的精神病理学。 共设计了12个实验，分为四个系列。这个 第一系列实验旨在测试该模型的 两种基本实验范式中的预测，旨在 区分模型的弱形式和强形式。 第二个系列旨在获取有关 假设的自动激活过程的时间进程 模特。第三个系列处理的是 相关和不相关的重叠维度。和第四个 系列评估使用刺激反应的可行性 精神分裂症和其他疾病研究中的配伍任务 精神变态。 我们期望获得的经验和理论结果 承诺促进我们对人类认知行为的理解 在正常人和患有慢性阻塞性肺病患者中的表现 精神分裂症和其他认知功能障碍。

The research described in this proposal is part of a larger research program designed to investigate basic, elemental cognitive processes in humans. Here we focus on the classic problem of stimulus-response compatibility. A new model is proposed that is broadly based on basic principles of human information processing. We will examine the role of automatic and controlled processing mechanisms underlying stimulus-response compatibility. Our objective is to provide a systematic account of performance in highly compatible, incompatible and non-compatible tasks; simultaneously to acquire a better understanding of the fundamental cognitive processes that govern performance in such tasks; relate this work to the central problems in cognition, and extend it to cognitive search on schizophrenia, and psychopathology in general. Twelve experiments are proposed and divided into four series. The first series of experiments is designed to test the model's predictions in two basic experimental paradigms and aims at distinguishing between the weak and the strong forms of the model. The second series is designed to obtain precise information on the time course of the automatic activation process postulated by the model. The third series deals with the processing consequences of correlated and uncorrelated overlapping dimensions. And the fourth series evaluates the feasibility of using stimulus-response compatibility tasks in research on schizophrenia and other psychopathologies. The empirical and theoretical results that we expect to obtain promise to advance our understanding of human cognitional do performance in normals as well as in patients suffering from schizophrenia and other cognitive dysfunctions.