Task-evoked pupillary responses reveal a role for attentional intensity in auditory discrimination
Related Experiment Video
Updated: Oct 31, 2026

Pupillometry to Assess Auditory Sensation in Guinea Pigs
Published on: January 6, 2023
Mark G Pillai1, Cody A Mashburn2, Jason S Tsukahara3
1Department of Psychological and Brain Sciences, Georgia Institute of Technology.
Abstract:
Sensory discrimination has long been theorized to reflect a core cognitive function underlying intelligence. Building on this tradition, we examined whether task-evoked pupil responses, as an index of mental effort, relate to attention control (AC) and auditory discrimination ability. Using a large data set (N = 336), participants completed three adaptive auditory discrimination tasks (pitch, duration, loudness), a cognitive battery assessing AC, working memory capacity, and fluid intelligence, and pupillometry during task performance. Structural equation modeling confirmed that AC predicted auditory discrimination thresholds and fully mediated the relationship between task-evoked pupil dilation and performance. Trial-level multilevel models revealed that higher task difficulty and errors were associated with larger pupil dilations, especially in demanding tasks. Crucially, individuals with greater AC exhibited steeper increases in pupil dilation with rising task difficulty and were more resilient to performance declines. For high-AC individuals, large pupil responses predicted preserved accuracy; for low-AC individuals, they signaled compensatory effort with diminished success. These results suggest that AC governs both the extent and efficacy of mental effort, determining whether high arousal facilitates or fails to improve performance. This work refines classic resource models by demonstrating that cognitive effort, indexed via pupillometry, supports perception most effectively when guided by strong AC. Findings support a hierarchical model in which AC serves as the functional bridge between arousal, sensory discrimination, and higher order cognition. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
More Related Videos
13:00Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
06:46Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019