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Dynamic Cognitive Load Assessment in Virtual Reality

虚拟现实 认知负荷 认知 动态评估 计算机科学 认知评估系统 人机交互 心理学 认知心理学 发展心理学 神经科学 认知障碍
作者
Rachel Elkin,Jeff Beaubien,Nathaniel Damaghi,Todd P. Chang,David Kessler
出处
期刊:Simulation & Gaming [SAGE Publishing]
卷期号:55 (4): 755-775 被引量:1
标识
DOI:10.1177/10468781241248821
摘要

Background Recent advances in non-invasive physiologic monitoring leverage machine learning to provide unobtrusive, real-time assessments of a learner’s cognitive load (CL) as they engage in specific tasks. However, the performance characteristics of these novel composite physiologic CL measures are incompletely understood. Objectives We aimed to 1) explore the feasibility of measuring CL in real time using physiologically-derived inputs; 2) evaluate the performance characteristics of a novel composite CL measure during simulated virtual reality resuscitations; and 3) understand how this measure compares to traditional, self-reported measures of CL. Methods Novice (PGY1-2 pediatric residents) and expert (pediatric emergency medicine fellows and attendings) participants completed four virtual reality simulations as team leader. The scenario content (status epilepticus versus anaphylaxis) and level of distraction (high versus low) were manipulated. Cognitive load was measured in all participants using electroencephalography and electrocardiography data (“real-time CL”) as well as through self-report (NASA-TLX). Scenario performance also was measured. Results Complete data were available for 6 experts and 6 novices. Experts generally had lower CL than novices on both measures. Both measures localized the most significant differences between groups to the anaphylaxis scenarios (real-time CL [low-distraction] Cohen’s d -1.33 [95% CI -.2.56, -0.03] and self-reported CL [high-distraction] Cohen’s d -1.41 [95% CI -2.67, -0.10]). No consistent differences were seen with respect to level of distraction. Performance was similar between the two groups, though both exhibited fewer errors over time (F (3,48) = 5.75, p = .002). Conclusion It is feasible to unobtrusively measure cognitive load in real time during virtual reality simulations. There was convergence between the two CL measures: in both, experts had lower CL than novices, with the most significant effect size differences in the more challenging anaphylaxis scenarios.

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