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首页> 外文会议>Human Factors and Ergonomics Society;Human Factors and Ergonomics Society annual meeting >Modeling of Facilitating Effect of Positive Affect on Task Switching with ACT-R
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Modeling of Facilitating Effect of Positive Affect on Task Switching with ACT-R

机译：使用ACT-R对正面情感促进任务切换的促进作用进行建模

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Far-reaching effects of positive affect in single task and multitask environments need to be reflectedin human performance modeling to develop higher fidelity models. The present study focuseson the effects in the multitasking environment. Specifically, we developed the ACT-R cognitivemodel to identify the cognitive mechanisms responsible for decrements of switching costby positive affect in the Dimensional Change Card Sort (DCCS) task. The effect of positive affecton switching cost on the DCCS task relies heavily on the declarative knowledge of actionrepertoiresmatched to a displayed cue, allowing us to justify existing mechanisms of positiveaffect from previous research. Compared to the experimental data, the results show that simulateddata of the ACT-R cognitive model achieved by the proposed method were highly matched withthe average response time from the experimental data. The present study contributes to a generalaccount of how positive affect impacts human cognitive process.
机译：需要反映出在单任务和多任务环境中产生积极影响的深远影响 在人类绩效建模中开发更高保真度的模型。本研究重点 在多任务环境中的效果。具体来说，我们开发了ACT-R认知 模型以识别导致转换成本降低的认知机制 在尺寸变更卡排序（DCCS）任务中受到积极影响。积极影响的作用 DCCS任务的转换成本很大程度上取决于对动作指令集的声明性知识 与显示的提示相匹配，使我们能够证明现有的积极机制是合理的 受到先前研究的影响。与实验数据比较，结果表明 该方法获得的ACT-R认知模型的数据与 实验数据的平均响应时间。本研究有助于一般 说明正面影响如何影响人类的认知过程。

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