Using Task-Induced Pupil Diameter and Blink Rate to Infer Cognitive Load

Using Task-Induced Pupil Diameter and Blink Rate to Infer Cognitive Load
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DOI:
10.1080/07370024.2014.892428
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发表时间:
2014-07-04
影响因子:
5.3
通讯作者:
Epps, Julien
Epps, Julien
中科院分区:
工程技术2区
文献类型:
--
作者:
Chen, Siyuan;Epps, Julien

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最小化用户认知负荷被建议作为以人为本的设计的一个组成部分,其中需要更直观,易于学习和自适应的界面。在这种情况下,很难开发出最佳的策略,以改善设计,而不首先知道用户的认知负荷波动在交互过程中。本研究从注意负荷理论的角度出发,采用瞳孔直径和眨眼测量方法,探讨了不同任务类型对认知负荷测量的影响。我们在低和高知觉负荷任务中诱导了五个水平的认知负荷,发现虽然瞳孔直径在知觉负荷低时对认知负荷有显著影响,但在知觉负荷高时,眨眼率和瞳孔直径对认知负荷都没有显著影响。结果表明,瞳孔直径仅在低知觉负荷的情况下才能反映认知负荷,并首次在认知负荷测量的背景下为注意负荷理论的认知控制方面提供了实证支持。同时,眨眼是一个更好的知觉负荷比认知负荷的指标。本研究亦暗示在使用瞳孔直径和眨眼测量的认知负荷测量中应考虑知觉负荷。以这种方式自动检测负载的类型和级别有助于为更好地推理以人为中心的界面设计的用户内部过程铺平道路。
Minimizing user cognitive load is suggested as an integral part of human-centered design, where a more intuitive, easy to learn, and adaptive interface is desired. In this context, it is difficult to develop optimal strategies to improve the design without first knowing how user cognitive load fluctuates during interaction. In this study, we investigate how cognitive load measurement is affected by different task types from the perspective of the load theory of attention, using pupil diameter and blink measures. We induced five levels of cognitive load during low and high perceptual load tasks and found that although pupil diameter showed significant effects on cognitive load when the perceptual load was low, neither blink rate nor pupil diameter showed significant effects on cognitive load when the perceptual load was high. The results indicate that pupil diameter can index cognitive load only in the situation of low perceptual load and are the first to provide empirical support for the cognitive control aspect of the load theory of attention, in the context of cognitive load measurement. Meanwhile, blink is a better indicator of perceptual load than cognitive load. This study also implies that perceptual load should be considered in cognitive load measurement using pupil diameter and blink measures. Automatic detection of the type and level of load in this manner helps pave the way for better reasoning about user internal processes for human-centered interface design.