School of Mechanical, Industrial, Manufacturing Engineering, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
Department of Industrial and Systems Engineering, College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL, USA.
Appl Ergon. 2021 Nov;97:103502. doi: 10.1016/j.apergo.2021.103502. Epub 2021 Jun 22.
This study investigated the effects of target size and error rate on cognitive demand during augmented reality (AR) interactions. In a repeated-measures laboratory study, twenty participants performed two AR tasks (omni-directional pointing and cube placing) with different target sizes and error rates. During the AR tasks, we measured cerebral oxygenation using functional near-infrared spectroscopy (fNIRS), perceived workload using the NASA-TLX questionnaire, stress using the Short Stress State Questionnaire, and task performance (task completion time). The results showed that the AR tasks with more interaction errors increased cerebral oxygenation, perceived workload, and task completion time while the target size significantly affected physical demand and task completion time. These results suggest that appropriate target sizes and low system errors may reduce potential cognitive demand in AR interactions.
本研究调查了增强现实（AR）交互过程中目标大小和错误率对认知需求的影响。在一项重复测量的实验室研究中，二十名参与者使用不同的目标大小和错误率完成了两项 AR 任务（全向指向和立方体放置）。在 AR 任务期间，我们使用功能近红外光谱（fNIRS）测量大脑氧合，使用 NASA-TLX 问卷测量感知工作负荷，使用短压力状态问卷测量压力，以及测量任务绩效（任务完成时间）。结果表明，交互错误较多的 AR 任务会增加大脑氧合、感知工作负荷和任务完成时间，而目标大小则显著影响体力需求和任务完成时间。这些结果表明，适当的目标大小和低系统错误可能会降低 AR 交互中的潜在认知需求。
