The interactive ability design of artificial intelligence based on the attention allocation mechanism of interactive perception

He Xuejiao
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Abstract

This article elaborates that the human brain structure determines that the people cannot really do "multitasking", but can consciously overcome the bottleneck of attention thinking, distribute the attention thinking rationally. Meanwhile, a lot of experimental cases show that people can finish 2 tasks at the same time if one is familiar with one task or by shifting the thinking quickly, thus "multitasking" is achieved. And intelligent interaction based on how the attention distribute has become one of the current development trends. According to 3 types of interactions based on the progressive decreasing of attention requirement, we provide a standardized definition to the interaction design, and extract the typical proposals. Attention is one factor when a user is thinking his/her preferred interaction. It is proved that, compared with the traditional "undivided attention", "multitasking" is more flexibility in dealing with problems. It is an essential thinking ability evolved for human to adapt to the development of science and technology and improve the social productivity.
基于交互感知注意分配机制的人工智能交互能力设计
本文阐述了人的大脑结构决定了人不能真正做到“一心多用”,但可以有意识地克服注意力思维的瓶颈,合理分配注意力思维。同时,大量的实验案例表明,如果一个人对一项任务很熟悉,或者通过快速转移思维,可以同时完成两项任务,从而实现“多任务”。而基于注意力分布的智能交互已成为当前的发展趋势之一。根据关注度需求逐渐降低的3种交互类型,对交互设计进行了标准化定义,并提取了典型建议。当用户考虑他/她喜欢的交互方式时,注意力是一个因素。事实证明,与传统的“一心一意”相比,“多任务处理”在处理问题时更具灵活性。它是人类为适应科学技术的发展,提高社会生产力而进化出来的一种必不可少的思维能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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