学龄前儿童智能伴侣玩具的智能设计

IF 1.7 3区工程技术 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing Pub Date : 2020-12-07 DOI:10.1017/S0890060420000499

Xin Wang, N. Yin, Zhinan Zhang

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引用次数: 5

摘要

幼儿教育对人的影响是持久的，一个合适的伴玩玩具对儿童的大脑发育起着至关重要的作用。本文建立了一个完整的以儿童为中心，以环境为导向的2 - 6岁学龄前儿童智能伴玩玩具设计指导框架。设计过程分为三个步骤:需求确认、售前智能设计、售后迭代更新。该框架考虑了儿童的特点，突出了设计中人与人工智能的融合。通过实例分析，证明了该框架的优越性。在丰富智能玩具设计研究的同时，指导从业者设计智能玩具，帮助儿童认知发展。

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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Smart design of intelligent companion toys for preschool children

Abstract Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement confirmation, the smart design before the sale, and the iterative update after the sale. This framework considers the characteristics of children and highlights the integration of human and artificial intelligence in design. A case study is provided to prove the superiority of the new framework. In addition to enriching the research on intelligent toy design, this paper also guides for practitioners to design smart toys and helps in children's cognitive development.

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来源期刊

Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing 工程技术-工程：制造

CiteScore

4.40

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： The journal publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. Specifically, the journal is interested in the use of AI in planning, design, analysis, simulation, qualitative reasoning, spatial reasoning and graphics, manufacturing, assembly, process planning, scheduling, numerical analysis, optimization, distributed systems, multi-agent applications, cooperation, cognitive modeling, learning and creativity. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems.