Précis to a practical unified theory of cognition and action: Some lessons from EPIC computational models of human multiple-task performance

Précis to a practical unified theory of cognition and action: Some lessons from EPIC computational models of human multiple-task performance
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认知和行动的实用统一理论简介:人类多任务表现 EPIC 计算模型的一些教训

DOI:
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发表时间:
1997
期刊:
影响因子:
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通讯作者:
D. Kieras
D. Kieras
中科院分区:
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文献类型:
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作者:
D. Meyer;D. Kieras

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摘要:实验心理学、认知科学和人因工程已经取得了长足的进步,现在可以预见一种实用的认知和行动统一理论。这样的理论可能很快就会产生有用的定量预测,用于在应用环境中快速实现人类的多任务表现。为了达到这个目的,执行-过程/交互-控制(EPIC)体系结构已经形成,其组件的假设属性模拟了基本的感知、认知和运动过程。在EPIC的基础上,理论家可以构建详细的计算模型,以表征实验室和现实世界条件下的多任务性能。例如,EPIC计算模型可以很好地描述心理不应期程序、飞机驾驶舱操作和人机交互的响应延迟和准确性。结果,发现了跨不同任务域的性能的主要共性,并确定了设计人机界面的有效原则。从这些进步中获得的实质性和方法论的经验教训为进一步的功利主义理论统一提供了有益的指导。
Abstract : Experimental psychology, cognitive science, and human factors engineering have progressed sufficiently far that a practical unified theory of cognition and action is now foreseeable. Such a theory soon may yield useful quantitative predictions about rapid human multiple task performance in applied settings. Toward this end, an Executive-Process/Interactive-Control (EPIC) architecture has been formulated with components whose assumed properties emulate fundamental perceptual, cognitive, and motor processes. On the basis of EPIC, a theorist may construct detailed computational models that characterize multiple task performance under both laboratory and real world conditions. For example, EPIC computational models provide good accounts of response latencies and accuracies from the psychological refractory period procedure, aircraft cockpit operation, and human computer interaction. As a result, major commonalities in performance across various task domains have been discovered, and efficacious principles for designing person machine interfaces have been identified. The substantive and methodological lessons learned from these advances constitute an instructive precis to further utilitarian theoretical unification.
DOI: 10.1037/0033-295x.97.2.253
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