Give me a break! Unavoidable fatigue effects in cognitive pupillometry.

Pupillometry has a rich history in the study of perception and cognition. One perennial challenge is that the magnitude of the task‐evoked pupil response diminishes over the course of an experiment, a phenomenon we refer to as a fatigue effect. Reducing fatigue effects may improve sensitivity to task effects and reduce the likelihood of confounds due to systematic physiological changes over time. In this paper, we investigated the degree to which fatigue effects could be ameliorated by experimenter intervention. In Experiment 1, we assigned participants to one of three groups—no breaks, kinetic breaks (playing with toys, but no social interaction), or chatting with a research assistant—and compared the pupil response across conditions. In Experiment 2, we additionally tested the effect of researcher observation. Only breaks including social interaction significantly reduced the fatigue of the pupil response across trials. However, in all conditions we found robust evidence for fatigue effects: that is, regardless of protocol, the task‐evoked pupil response was substantially diminished (at least 60%) over the duration of the experiment. We account for the variance of fatigue effects in our pupillometry data using multiple common statistical modeling approaches (e.g., linear mixed‐effects models of peak, mean, and baseline pupil diameters, as well as growth curve models of time‐course data). We conclude that pupil attenuation is a predictable phenomenon that should be accommodated in our experimental designs and statistical models. Pupillometry is used widely to investigate perception and cognition, but researchers typically do not account for systematic physiological changes over the course of an experiment. The present study advances current knowledge by examining potential interventions to prevent fatigue of the pupil response, and suggests solutions for modeling across‐experiment physiological changes. [ABSTRACT FROM AUTHOR]