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Quantifying Streams of Thought during Cognitive Task Performance using Sequence Analysis
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Description: Streams of thoughts vary in content from one moment to the next, and these temporal patterns have been argued to be critical to understanding the wandering mind. But few analytic methods have been proposed that can account for both the content and temporal ordering of thoughts over time. In the present study, I apply sequence analysis and related methods to quantify the dynamics of thought from time series sequences of categorical experience sampling thought probes delivered across five different cognitive tasks in the same individuals (N = 545). Sequence analysis revealed a modicum of order and consistency in streams of thought within-individuals, but also demonstrated considerable variability within and between task sessions. Hierarchical clustering of sequence dissimilarities further revealed common typologies of mind wandering across individuals. These findings demonstrate the application of sequence analytic methods for quantifying the dynamics of thought over the course of task performance and show that contextual task constraints are associated with how streams of thought unfold over time. More broadly, sequence analysis provides a valuable framework for investigation of time ordered cognitive and behavioral processes across psychological domains.