MA, University of Cincinnati, 2023, Arts and Sciences: Psychology
Attention is a cognitive process that, when stable, allows the mind to focus on relevant information. While attention can shift and fluctuate nonlinearly, research shows that a two-factor model can be used to capture the stability of selective sustained attention. Nevertheless, nonlinear dynamics of attention remain elusive under this two-factor model of attention. Hence, a one-sided focus on attentional stability undermines ways to control the processes of focusing and ignoring. To shed light on non-linear shifting in attention, I applied ideas from complexity science, a framework that anticipates such nonlinear phenomena. Specifically, I sought to apply a cusp model of selective sustained attention to explore the extent to which complexity science could be a useful approach to attention. The following demonstrates how a cusp model anticipates the presence of two orthogonal factors that align with those already identified in extant research on selective sustained attention. I also found that the empirical findings of selective sustained attention are conducive of fitting data to a cusp model. This research provides the first step in establishing a consistent framework for taking a dynamical complexity approach to the study of attention that inherently changes.
Committee: Heidi Kloos Ph.D. (Committee Chair); John Holden Ph.D. (Committee Member); Anthony Chemero Ph.D. (Committee Member)
Subjects: Cognitive Therapy