Toward a Real-Time Index of Pupillary Activity as an Indicator of Cognitive Load

Toward a Real-Time Index of Pupillary Activity as an Indicator of Cognitive Load
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将瞳孔活动的实时指数作为认知负荷的指标

DOI:
10.1016/j.procs.2022.09.189
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发表时间:
2022
期刊:
Procedia Computer Science
影响因子:
--
通讯作者:
Gehrer, Nina
Gehrer, Nina
中科院分区:
--
文献类型:
--
作者:
Jayawardena, Gavindya;Jayawardana, Yasith;Jayarathna, Sampath;Högström, Jonas;Papa, Thomas;Akkil, Deepak;Duchowski, Andrew T.;Peysakhovich, Vsevolod;Krejtz, Izabela;Gehrer, Nina

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瞳孔活动的低/高指数(LHIPA),瞳孔直径振荡的眼睛跟踪测量,被重新设计和实施,以实时运行。新的实时IPA(RIPA)的歧视认知负荷从早期的实验中重新流数据。RIPA的原理与人类自主神经系统的功能有关,基于瞳孔振荡的低/高频率的比率产生混合测量。该文件的贡献是从提供的文件计算的RIPA。与LHIPA一样,研究人员可以将此指标应用于他们自己的实验,其中对认知负荷的测量感兴趣。
The Low/High Index of Pupillary Activity (LHIPA), an eye-tracked measure of pupil diameter oscillation, is redesigned and implemented to function in real-time. The novel Real-time IPA (RIPA) is shown to discriminate cognitive load in re-streamed data from earlier experiments. Rationale for the RIPA is tied to the functioning of the human autonomic nervous system yielding a hybrid measure based on the ratio of Low/High frequencies of pupil oscillation. The paper's contribution is drawn from provision of documentation of the calculation of the RIPA. As with the LHIPA, it is possible for researchers to apply this metric to their own experiments where a measure of cognitive load is of interest.
DOI: 10.1109/18.119727
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