Human Interface Design that considers Cognitive Characteristics

本研究从适当的认知负荷、认知信息加工的干扰和心理负荷三个方面探讨了在较大程度上需要认知信息加工的任务中人机界面设计的方法。我们研究了多窗口系统的视觉干扰。我们还探讨了人工操作员在监控多台仪器时的监控特点。这两项研究表明，随着认知负荷的增加，视觉信息容量下降，人为错误增加。此外，提出了一种测量功能视野的方法，并定量探讨了视觉信息处理深度与宽度之间的权衡关系。我们还发现漏斗效应随着中央凹视觉认知负荷的增加而发生。我们尝试用小波变换技术来评估认知负荷增加引起的心理负荷。结果表明，θ、α、β频带的总功率和最大功率出现的时间是评价脑力负荷的有效而敏感的指标。从减少认知负荷的角度探讨了语音输入在多模态、多任务环境下的有效性。语音输入可以减少多模态和多任务环境下的认知负荷。使用语音输入时的问题也被确定。

In this study, the method of human interface design in tasks that needed cognitive information processing to a larger extent was discussed from viewpoints of proper cognitive loading, interference of cognitive information processing, and mental workload.We investigated visual interference on multi-window systems. We also explored the monitoring characteristics of human operators when monitoring multiple instruments. From these two studies, it was clarified that the capacity of visual information decreased and the human error increased with the increase of the cognitive workload. Moreover, a method to measure the functional visual field was developed and the trade-off relationship between the depth and the width of visual information processing was quantitatively explored. We also found that the funneling effect occurred with the increase of cognitive loading at the foveal vision.We made an attempt to evaluate mental workload induced by the increase of cognitive loading using a wavelet transform technique. As a result, the total power of θ, α and β frequency band and the appearance time of the maximum power were found to be effective and sensitive measures for the evaluation of mental workload.The effectiveness of speech input in multimodal and multi-task environments was discussed from the viewpoint of decrease of cognitive workload. The speech input was found to decrease cognitive workload for both multimodal and multi-task environments. The problems when using speech input were also identified.