A meta-analysis of the n-back task while driving and its effects on cognitive workload

被引:29
|
作者
von Janczewski, Nikolai [1 ,3 ]
Wittmann, Jennifer [1 ]
Engeln, Arnd [2 ]
Baumann, Martin [3 ]
Krauss, Lutz [1 ]
机构
[1] Dr Ing Hc F Porsche AG, UI UX Display & Interact, Weissach, Germany
[2] Stuttgart Media Univ, Interact Design & User Experience, Stuttgart, Germany
[3] Ulm Univ, Inst Psychol & Educ, Dept Human Factors, Ulm, Germany
关键词
n-back task; Cognitive workload; Working memory; Driving task; Meta-analysis; WORKING-MEMORY TASK; PHYSIOLOGICAL AROUSAL; GAZE CONCENTRATION; DRIVERS; IMPACT; AGE; DISTRACTION; SENSITIVITY; PERFORMANCE; LOAD;
D O I
10.1016/j.trf.2020.11.014
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
This study investigates the effect of the n-back task on cognitive workload while driving. Results of 20 studies with over 800 participants in total show a moderate to high mean effect size. That means the n-back task varies cognitive load while driving in a substantial matter. Further analysis reveals several moderator variables: experiments conducted in a driving simulator showed larger effect sizes than on-road studies. This effect decreases with increasing driving simulator fidelity. Furthermore, the specific driving task assignment moderates the effect: lane change task scenarios result in higher effects than other situations. Regarding the different measurement methods of cognitive workload, subjective questionnaires seem to have very high sensitivity. In contrast, n-back performance measures, detection response task measures, and physiological measurements result in moderate effect sizes, and driving performance measures show reduced sensitivity. Regarding different implementations of the n-back task itself, surprisingly, no moderators are found. Overall, the findings highlight the suitability of the n-back task as a method of inducing cognitive load in transportation research. The moderator analysis gives an overview of different methodological designs and how these designs will affect effect sizes. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:269 / 285
页数:17
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