Research Areas: DCAS
At CWRU, Kyle is interested in the application of computational cognitive modeling methods in the study of learning, decision-making, and performance. Areas of interest include risk perception, the learning and maintenance of mental models, demand-accuracy tradeoffs, and the propensity to choke under threat, pressure, and fear. Along these lines, his current work includes:
1. Applications of drift-diffusion modeling in parsing exploration from exploitation behavior in affective decision-making.
2. Discrete motor chunking and its role in sequential motor learning and performance under acute stress and sleep deprivation.
3. Applications of hierarchical Bayesian models and partially observable Markov decision processes in dissociating model-based from model-free learning and decision-making.
Selected Recent Publications/Presentations:
LaFollette, KJ.,Satterfield, BC., Lazar, MP., Killgore, WDS. (October, 2019).Disentangling the effects of subjective task load and performance on neuroendocrine stress response. Poster presented at the 49th Annual Society for Neuroscience Meeting, Chicago, IL.
LaFollette, KJ., Satterfield, BC., Esbit, S., Lazar, MP., Killgore, WDS. (August 2019). Inadequate sleep quality and duration predicts disinhibited shooting on a “shoot/no shoot” task. Poster presented at the 2019 Military Health System Research Symposium, Kissimmee, FL.
LaFollette, KJ., Satterfield, BC., Esbit, S., Lazar, MP., Grandner, MA., Killgore, WDS. (June, 2019). Negative mood and poor sleep are associated with altered moral reasoning under stress. Poster presented at the 33rd Annual SLEEP Meeting, San Antonio, TX.
LaFollette, KJ., Satterfield, BC., Lazar, MP., Killgore, WDS. (November, 2018). Attenuated model-based decision making is predictive of increased psychosocial stress reactivity. Poster presented at the Society for Judgment and Decision Making 39th Annual Meeting, New Orleans, LA.