Artificial intelligence systems that model and support human cognition require reliable measures of cognitive state. We present the Focus Performance Score (FPS) from the Pulse Focus mobile Stroop application and evaluate whether it measures attentional control during color-word conflict resolution. We conduct behavioral, neural, and formula validation analyses. Behavioral results (N=466, 111,133 trials) show that FPS captures the Stroop interference effect, tracks individual differences in attentional control, and demonstrates strong test-retest reliability. Neural validation using the DMCC55B fMRI dataset (N=55) shows that the primary FPS component, mean incongruent reaction time, is significantly associated with anterior cingulate cortex activation, a key neural substrate of conflict monitoring. Formula validation identifies and resolves structural redundancy within the scoring framework and provides convergent support for the weighting design. Together, these findings establish FPS as a behaviorally valid, reliable, and neurally grounded measure of attentional control. FPS provides a defensible behavioral signal for evaluating human attentional state and supports future work on attention-aware human-AI interaction and physiological state modeling.

翻译：建模并支持人类认知的人工智能系统需要可靠的认知状态测量手段。我们提出基于Pulse Focus移动端Stroop应用程序的焦点绩效评分（FPS），并评估其在颜色-词语冲突解决过程中测量注意控制的能力。我们开展了行为学、神经影像学及公式验证分析。行为学结果（N=466，111,133次试验）显示，FPS能够捕捉Stroop干扰效应、追踪注意控制的个体差异，并展现出良好的重测信度。基于DMCC55B fMRI数据集（N=55）的神经验证表明，FPS的主要成分——不一致条件下的平均反应时间——与前扣带回皮层（冲突监测的关键神经基础）的激活显著相关。公式验证识别并解决了评分框架内的结构冗余问题，同时为权重设计提供了趋同性支持。综上，这些发现确立了FPS作为注意控制的行为有效、可靠且具有神经基础的行为测量指标。FPS为评估人类注意状态提供了可辩护的行为信号，并为未来注意感知型人机交互及生理状态建模的研究提供了支撑。