There has been a recent increase in individual differences research within the field of audiovisual perception (Spence & Squire, 2003, Current Biology, 13(13), R519–R521), and furthering the understanding of audiovisual integration capacity with an individual differences approach is an important facet within this line of research. Across four experiments, participants were asked to complete an audiovisual integration capacity task (cf. Van der Burg, Awh, & Olivers, 2013, Psychological Science, 24(3), 345–351; Wilbiks & Dyson, 2016, PLOS ONE 11(12), e0168304; 2018, Journal of Experimental Psychology: Human Perception and Performance, 44(6), 871–884), along with differing combinations of additional perceptual tasks. Experiment 1 employed a multiple object tracking task and a visual working memory task. Experiment 2 compared performance on the capacity task with that of the Attention Network Test. Experiment 3 examined participants’ focus in space through a Navon task and vigilance through time. Having completed this exploratory work, in Experiment 4 we collected data again from the tasks that were found to correlate significantly across the first three experiments and entered them into a regression model to predict capacity. The current research provides a preliminary explanation of the vast individual differences seen in audiovisual integration capacity in previous research, showing that by considering an individual’s multiple object tracking span, focus in space, and attentional factors, we can account for up to 34.3% of the observed variation in capacity. Future research should seek to examine higher-level differences between individuals that may contribute to audiovisual integration capacity, including neurodevelopmental and mental health differences.

最近在视听感知领域中的个体差异研究有所增加（Spence＆Squire，2003，Current Biology，13（13），R519–R521），并且通过个体差异方法进一步增进了对视听整合能力的理解。该研究领域中的一个重要方面。在四个实验中，要求参与者完成视听整合能力任务（参见Van der Burg，Awh＆Olivers，2013，Psychological Science，24（3），345-351; Wilbiks＆Dyson，2016，PLOS ONE 11（ 12），e0168304; 2018，实验心理学杂志：人类的感知与表现，44（6），871-884），以及其他感知任务的不同组合。实验1采用了多目标跟踪任务和视觉工作记忆任务。实验2将容量任务的性能与注意力网络测试的性能进行了比较。实验3通过Navon任务检查了参与者对太空的关注，并通过时间保持了警惕。完成这项探索性工作后，在实验4中，我们再次从发现的任务中收集了数据，这些任务在前三个实验中具有显着相关性，并将其输入回归模型以预测产能。当前的研究对以前的研究在视听整合能力方面存在巨大的个体差异提供了初步的解释，表明通过考虑个体的多目标跟踪跨度，空间焦点，和注意因素，我们最多可以占观察到的容量变化的34.3％。未来的研究应寻求检查可能有助于视听整合能力的个体之间更高层次的差异，包括神经发育和心理健康差异。