首页> 外文期刊>Journal of cognitive engineering and decision making >Complex Perceptual-Cognitive Expertise in a Simulated Task Environment
【24h】

Complex Perceptual-Cognitive Expertise in a Simulated Task Environment

机译:模拟任务环境中的复杂感知认知专长

获取原文
获取原文并翻译 | 示例
       

摘要

In popular models of expertise and decision making in complex environments, such as the recognition-primed decision (RPD) model and take-the-first (TTF) heuristic, expert and skilled decision makers are described as generating few response options and typically choose the best option first. To explain these behaviors, proponents of TTF have suggested that a negative relationship exists between the number of options generated and decision quality. In the current article, we use a prediction and situational option generation paradigm to assess perceptual-cognitive skill in the complex domain of soccer to determine whether these claims explain how decision makers make predictions about others in the environment. In three experiments we provide evidence to show that superior prediction performance was supported by a situation model-type mechanism as proposed by long-term working memory (LTWM) theory rather than simpler heuristics, such as TTF or RPD. The similarity between LTWM mechanisms and relevant macrocognitive processes is discussed. The data have important implications for how future experts should be trained and, in particular, for developing skilled comprehension, apprehension, and prediction skill.
机译:在复杂环境中流行的专业知识和决策模型中,例如识别为主导的决策(RPD)模型和优先采用(TTF)启发式方法,专家和熟练的决策者被描述为生成很少的响应选项,并且通常选择最好的选择第一。为了解释这些行为,TTF的支持者建议在生成的选项数量与决策质量之间存在负相关关系。在当前的文章中,我们使用预测和情景选项生成范式来评估足球复杂领域中的感知认知技能,以确定这些主张是否能够解释决策者如何对环境中的其他人做出预测。在三个实验中,我们提供了证据,表明长期工作记忆(LTWM)理论提出的情况模型类型机制支持了优异的预测性能,而不是像TTF或RPD这样的简单启发式方法。讨论了LTWM机制和相关的宏观认知过程之间的相似性。数据对未来的专家培训方式,特别是对技能熟练的理解,理解和预测技能的发展具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号