文献类型：期刊文献

英文题名：Research on the Logical Levels and Roles of Human Interaction with Intelligent Creatures Under the Trend of Human-Computer Intelligence Integration

作者：Yu, Wei[1]; Wang, Xiaoju[1]

机构：[1] School of Art Design and Media, East China University of Science and Technology, Shanghai, China

年份：2021

卷号：1498 CCIS

起止页码：197

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20214811235906)

语种：英文

外文关键词：Human computer interaction - Behavioral research

摘要：At present, the combination of computers and humans in the field of artificial intelligence is getting closer and closer, which is not only reflected in the physical level, but also in the psychological level. Such a combination of computer and human is more like the birth of a new life form, which contains both the characteristics of natural life and the characteristics of non-life. In this paper, the interactive roles that will be generated under the premise of completing tasks in the "human-computer intelligent fusion" are divided into three categories: "smart creatures", biological humans and smart pieces. At the same time, these three types of roles will alternately produce three different types. The interactive relationship between "intelligent creatures" and "intelligent creatures", biological humans and "intelligent creatures", and biological humans and smart devices. After dividing the interactive relationship in the horizontal dimension, this article uses Donald Norman’s "Three Designs" Each level" divides all kinds of interactions vertically. Then use Donald Norman’s "Seven Stages of Action" to refine the design elements required for the three-tier interaction. Donald Norman’s "Three Levels of Design" and "Seven Stages of Action" have been verified to help guide interaction design and human action design, and provide a useful framework for design activities. By expounding the interaction characteristics of each role and level, a more detailed discussion of the effectiveness of this new interaction is made, which provides usability reference for the upcoming human-machine intelligent integration interaction. ? 2021, Springer Nature Switzerland AG.