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优化基于瞳孔的认知负荷指标的使用。

Optimizing the usage of pupillary based indicators for cognitive workload.

作者信息

Fehringer Benedict C O F

机构信息

University of Mannheim, Germany.

出版信息

J Eye Mov Res. 2021 Jun 11;14(2). doi: 10.16910/jemr.14.2.4. eCollection 2021.

DOI:10.16910/jemr.14.2.4
PMID:34306540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8299071/
Abstract

The Index of Cognitive Activity (ICA) and its open-source alternative, the Index of Pupillary Activity (IPA), are pupillary-based indicators for cognitive workload and are independent of light changes. Both indicators were investigated regarding influences of cognitive demand, fatigue and inter-individual differences. In addition, the variability of pupil changes between both eyes (difference values) were compared with the usually calculated pupillary changes averaged over both eyes (mean values). Fifty-five participants performed a spatial thinking test, the R-Cube-Vis Test, with six distinct difficulty levels and a simple fixation task before and after the R-Cube-Vis Test. The distributions of the ICA and IPA were comparable. The ICA/IPA values were lower during the simple fixation tasks than during the cognitively demanding R-Cube-Vis Test. A fatigue effect was found only for the mean ICA values. The effects of both indicators were larger between difficulty levels of the test when inter-individual differences were controlled using z-standardization. The difference values seemed to control for fatigue and appeared to differentiate better between more demanding cognitive tasks than the mean values. The derived recommendations for the ICA/IPA values are beneficial to gain more insights in individual performance and behavior during, e.g., training and testing scenarios.

摘要

认知活动指数(ICA)及其开源替代指标瞳孔活动指数(IPA)是基于瞳孔的认知负荷指标,且不受光线变化影响。对这两个指标在认知需求、疲劳和个体差异方面的影响进行了研究。此外,还比较了双眼瞳孔变化的差异值与通常计算的双眼平均瞳孔变化值(平均值)。55名参与者进行了一项空间思维测试,即R-立方体视觉测试,该测试有六个不同难度级别,且在R-立方体视觉测试前后进行了简单的注视任务。ICA和IPA的分布具有可比性。在简单注视任务期间,ICA/IPA值低于认知要求较高的R-立方体视觉测试期间。仅在ICA平均值上发现了疲劳效应。当使用z标准化控制个体差异时,两个指标在测试难度级别之间的效应更大。差异值似乎可以控制疲劳,并且在区分要求更高的认知任务方面似乎比平均值表现更好。得出的ICA/IPA值建议有助于在例如训练和测试场景中更深入了解个体表现和行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/860f9356e213/jemr-14-02-d-figure-04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/4f0d66f2b057/jemr-14-02-d-figure-01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/e4b620ec406a/jemr-14-02-d-figure-02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/a8a7737d154f/jemr-14-02-d-figure-03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/860f9356e213/jemr-14-02-d-figure-04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/4f0d66f2b057/jemr-14-02-d-figure-01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/e4b620ec406a/jemr-14-02-d-figure-02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/a8a7737d154f/jemr-14-02-d-figure-03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f9b/8299071/860f9356e213/jemr-14-02-d-figure-04.jpg

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本文引用的文献

1
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2
Pupil dilation during recognition memory: Isolating unexpected recognition from judgment uncertainty.识别记忆过程中的瞳孔扩张:将意外识别与判断不确定性区分开来。
Cognition. 2016 Sep;154:81-94. doi: 10.1016/j.cognition.2016.05.018. Epub 2016 May 30.
3
Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences.
用于认知负荷估计的多模态数据集。
Sensors (Basel). 2022 Dec 28;23(1):340. doi: 10.3390/s23010340.
4
Eye movements as a predictor of preference for progressive power lenses.眼动作为渐进多焦点镜片偏好的预测指标。
J Eye Mov Res. 2022 Jun 30;15(2). doi: 10.16910/jemr.15.2.6. eCollection 2022.
贝叶斯因子的序贯假设检验:高效检验均值差异。
Psychol Methods. 2017 Jun;22(2):322-339. doi: 10.1037/met0000061. Epub 2015 Dec 14.
4
A multifaceted investigation of the link between mental fatigue and task disengagement.一项关于精神疲劳与任务脱离关联的多方面调查。
Psychophysiology. 2015 Mar;52(3):305-15. doi: 10.1111/psyp.12339. Epub 2014 Sep 26.
5
Cognitive processing load across a wide range of listening conditions: insights from pupillometry.各种听力条件下的认知加工负荷:来自瞳孔测量法的见解
Psychophysiology. 2014 Mar;51(3):277-84. doi: 10.1111/psyp.12151. Epub 2014 Feb 9.
6
Eye metrics as an objective assessment of surgical skill.眼动测量作为手术技能的客观评估。
Ann Surg. 2010 Jul;252(1):177-82. doi: 10.1097/SLA.0b013e3181e464fb.
7
Autonomic predictors of Stroop performance in young and middle-aged adults.自主神经预测年轻人和中年人 Stroop 表现。
Int J Psychophysiol. 2010 Jun;76(3):123-9. doi: 10.1016/j.ijpsycho.2010.02.007. Epub 2010 Mar 1.
8
Resource allocation and fluid intelligence: insights from pupillometry.资源分配与流体智力:瞳孔测量的启示。
Psychophysiology. 2010 Jan 1;47(1):158-69. doi: 10.1111/j.1469-8986.2009.00884.x. Epub 2009 Sep 15.
9
Heart rate variability and cognitive function: effects of physical effort.心率变异性与认知功能:体力活动的影响
Biol Psychol. 2009 Oct;82(2):164-168. doi: 10.1016/j.biopsycho.2009.07.007. Epub 2009 Jul 24.
10
Relationships between features of autonomic cardiovascular control and cognitive performance.自主心血管控制特征与认知表现之间的关系。
Biol Psychol. 2009 May;81(2):110-7. doi: 10.1016/j.biopsycho.2009.03.003. Epub 2009 Mar 24.