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Assessing real-time cognitive load based on psycho-physiological measures for younger and older adults

机译:根据心理生理指标评估年轻人和老年人的实时认知负荷

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We are increasingly in situations of divided attention, subject to interruptions, and having to deal with an abundance of information. Our cognitive load changes in these situations of divided attention, task interruption or multitasking; this is particularly true for older adults. To help mediate our finite attention resources in performing cognitive tasks, we have to be able to measure the real-time changes in the cognitive load of individuals. This paper investigates how to assess real-time cognitive load based on psycho-physiological measurements. We use two different cognitive tasks that test perceptual speed and visio-spatial cognitive processing capabilities, and build accurate models that differentiate an individual's cognitive load (low and high) for both young and older adults. Our models perform well in assessing load every second with two different time windows: 10 seconds and 60 seconds, although less accurately for older participants. Our results show that it is possible to build a real-time assessment method for cognitive load. Based on these results, we discuss how to integrate such models into deployable systems that mediate attention effectively.
机译:我们越来越处于分散关注,受到干扰以及必须处理大量信息的情况。在注意力分散,任务中断或多任务的情况下,我们的认知负荷会发生变化;对于老年人尤其如此。为了帮助调解我们有限的注意力资源来执行认知任务,我们必须能够测量个人认知负荷的实时变化。本文研究如何基于心理生理测量来评估实时认知负荷。我们使用两个不同的认知任务来测试感知速度和视觉空间认知处理能力,并建立准确的模型来区分年轻人和老年人的个人认知负荷(低和高)。我们的模型在两个不同的时间窗口(每秒10秒和60秒)下,每秒评估负载的性能很好,尽管对于较老的参与者而言准确度较低。我们的结果表明,有可能建立一种认知负荷的实时评估方法。基于这些结果,我们讨论如何将此类模型集成到可有效调解注意力的可部署系统中。

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