Cueing Effects in the Attentional Network Test: a Spotlight Diffusion Model Analysis
Cueing Effects in the Attentional Network Test: a Spotlight Diffusion Model Analysis
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DOI：
10.1007/s42113-018-0004-6
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发表时间：
2018-03
期刊：
影响因子：
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通讯作者：
C. White;R. Curl
中科院分区：
文献类型：
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作者：
C. White;R. Curl
注意力网络测试（ANT）使用具有不同提示条件的侧翼刺激来量化注意力处理的差异。然而，尚不清楚任务中的警报和定向线索如何影响不同的决策过程。本研究利用计算模型来确定注意力线索和决策成分之间的关系。使用聚光灯扩散模型对来自 156 名参与者的大样本的 ANT 数据进行了分析，该模型量化了反应谨慎、运动/编码时间、感知处理和注意力控制的决策成分。聚光灯分析表明，注意力线索对决策处理有多重影响。与无提示条件相比，警报提示导致编码/运动速度更快，感知处理得到改善，注意力更加集中。定向提示进一步导致反应谨慎性的减少和编码/运动速度的增加以及注意力的集中，以减少来自不相容的侧翼的干扰。该分析表明，警报和定向线索对决策过程具有复杂的影响，而这些影响无法通过 RT 的简单差异来捕获，并且基于模型的分析可以描述这种影响，使研究人员能够准确识别注意力处理在个体或任务条件（如 ANT）中如何变化。
The attentional network test (ANT) uses flanker stimuli with different cue conditions to quantify differences in attentional processing. However, it is unclear precisely how the alerting and orienting cues in the task affect different decision processes. The present study leveraged computational modeling to identify the relationship between attentional cues and decision components. ANT data from a large sample of 156 participants were analyzed using the spotlight diffusion model, which quantifies decision components for response caution, motor/encoding time, perceptual processing, and attentional control. The spotlight analysis showed that the attentional cues had multiple effects on decision processing. Compared to the no cue condition, an alerting cue led to faster encoding/motor speed, improved perceptual processing, and increased attentional focusing. The orienting cue further led to a decrease in response caution and increased encoding/motor speed and attentional focusing to reduce interference from incompatible flankers. This analysis demonstrates that alerting and orienting cues have complex effects on decision processes that are not captured by simple differences in RTs, and that model-based analyses can delineate such effects to allow researchers to identify precisely how attentional processing varies across individuals or conditions in tasks like the ANT.