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Predicting Rapid Shifts in Cognitive Resource Allocation

Authors:
Justin Brooks
Philip Dyer
Katherine Cox
Jonroy Canady
Kanika Bansal
Javier Garcia

Keywords: cognitive resource depletion; humans and complex systems

Abstract:
Human cognition is the set of abilities humans possess to intelligently interact with the world through goal-directed behaviors and is an essential component of daily life. As with several other processes (e.g., physical exertion), cognitive resources are inherently limited. Moreover, as the systems with which humans interact become more complex (e.g., artificial intelligence), the degree and rate of the associated depletion of these cognitive resources can vary dramatically. A real-time signal of cognitive depletion can be used to moderate task demands imposed on humans to enable high-performing human and complex system interactions; however, previous attempts have identified generalizability across both individuals and a variety of tasks to be a significant challenge in modeling cognitive depletion. Here, we present a model that uses physiological measurements and that generalizes across three different real-world tasks and across heterogeneous samples of participants. Specifically using features that are implicated in autonomic and central nervous system activity, our model detects cognitive resource depletion in multiple tasks, including mental arithmetic, simulated navigation/decision-making, and visuospatial/sensorimotor processing. The model makes second-by-second predictions of cognitive resource depletion, which can be used in real-time human-in-the loop systems.

Pages: 59 to 66

Copyright: Copyright (c) The Government of USA, 2022. Used by permission to IARIA.

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-982-9

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022