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Quantification of Natural Multimodal Interaction Capacity

机译:天然多峰相互作用能力的定量

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摘要

In multimodal interaction, information is presented to users through multiple channels, e.g., sight, sound, touch, smell, and taste. Too much information delivered in a short time, however, may result in information overload that overflows people's information processing capacity. We summarized the methods of quantifying the capacity by categorizing them into the span of storage or the speed of processing. The span of storage mainly includes short-term memory and working memory capacity and multiple object tracking capacity. Working memory is required in many intellectual functions, and its capacity could be tested with change detection tasks, self-ordered tasks, and complex span tasks. Whether different modalities have separate capacities, whether objects or features are stored, and whether the capacity works as discrete slots or a continuous resource pool were discussed. The speed of processing could be calculated as the information transfer rate with the stimuli and responses matrix; Entropy is used for more complex stimuli such as languages. The relative capacity of multitasking, which is often incorporated in multimodal interaction, could be calculated with the capacity coefficient. The application of these methods to the non-traditional modalities in human-computer interaction, e.g., touch, smell, and taste, was discussed.
机译:在多模式交互中,信息是通过多种渠道呈现给用户的,例如视觉,声音,触觉,气味和味道。但是,在短时间内传递的信息过多,可能会导致信息过载,从而使人们的信息处理能力泛滥。我们总结了通过将容量分类为存储范围或处理速度来量化容量的方法。存储范围主要包括短期内存和工作内存容量以及多个对象跟踪容量。在许多智能功能中都需要工作记忆,并且可以通过变更检测任务,自定任务和复杂跨度任务来测试其工作能力。讨论了不同的模式是否具有单独的容量,是否存储了对象或特征,以及该容量是用作离散时隙还是连续资源池。可以将处理的速度计算为具有刺激和响​​应矩阵的信息传输速率;熵用于更复杂的刺激,例如语言。多任务处理的相对能力(通常包含在多模式交互中)可以通过能力系数进行计算。讨论了这些方法在人机交互中非传统形式上的应用,例如触摸,嗅觉和味觉。

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