利用初始认知负荷预测用户对复杂视觉任务的反应

Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar
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引用次数: 1

摘要

在这项研究中,我们能够展示在复杂视觉任务开始时的认知负荷测量如何预测用户的反应。我们用瞳孔大小和微跳率来测量认知负荷。任务的初始阶段被定义为试验反应时间(RT)的前25%,这是可变的,最多50秒。这个复杂的视觉任务需要一组12个单词,这些单词可以分为1、2或3个类别或组,例如,单词bed、pillow、headboard等可以分为一个单独的组,即bedroom。我们发现初始认知负荷和最终用户对任务的反应之间存在显著的相关性。这项研究为初始认知过程提供了新的见解,这将在自适应用户界面设计、早期预警控制和人类行为检测中具有实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Initial Cognitive Load to Predict User Response to Complex Visual Tasks
- In this study, we were able to show how cognitive load measurement during the initiation of a complex visual task can predict user response. We measured cognitive load using pupil size and microsaccade rate. The initial phase of task was defined as the first 25 percent of the trial Reaction Time (RT), which was variable up to 50 seconds. The complex visual task entailed a set of twelve words that could be grouped based into 1, 2, or 3 categories or sets, e.g., the words bed, pillow, headboard, etc. can be grouped into a single set that is bedroom. We found a significant correlation between initial cognitive load and final user response to the task. This study provides new insights into the initial cognitive processes that would have practical applications in adaptive user interface design, early warning controls, and detection in human performance.
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