英语翻译将下列段子翻译成英文,千万不能中国化丫!浅谈人机学赋予儿童玩具的生命力摘要随着科技的飞速发展,技术的进步,生活节

英语翻译
将下列段子翻译成英文,千万不能中国化丫!
浅谈人机学赋予儿童玩具的生命力
摘要
随着科技的飞速发展,技术的进步,生活节奏的加快,各种玩具产品琳琅满目,应接不暇,在人们日渐注重精神生活享受之时,优秀且实用更能便利人们生活,有益身体健康的产品成为人们追捧的对象,越来越多的玩具产品不单单是只注重外观、色彩上的设计,更多的是注重产品功能以及还原以人为本的设计.使人们在享受物质生活的同时,更加注重产品在“方便”、“舒适”、“可靠”、“价值”、“安全”和“效率”等方面的评价,也就是在玩具产品设计中常提到的人性化设计问题.
而人机学在产品设计中的运用,就使得玩具产品有了生命,它拉近了人与物之间的距离,使人对产品建立了深深的感情,人与产品有机的结合,建立了人与物的和谐关系,最大限度地挖掘孩子的潜能,综合平衡地使用人的肌能,保护人体健康,从而提高生产率.
本文章主要简述了人机工程学在玩具产品设计中发挥的作用,人与物的和谐统一,以实例论证,同时结合我的毕业设计题目------儿童木马的设计,来论述以上观点.

很高兴帮您翻译 翻译如下：
2000c man-machine learning gives children's toys vitality
the
With the rapid development of science and technology progress, life rhythm speeding up, all kinds of toys products have more dazzling, in people increasingly attention, mental enjoy the life, good and practical more can be convenient people living, healthy for body products become people to the vaunted object, more and more toy product not only is only paying attention to appearance, color design, with more focus on product function and the reduction people-oriented design. Make people enjoy physical life at the same time, pay more attention to product in "convenient" and "comfortable" and "reliable" and "value" and "security" and "efficiency", etc in the evaluation, is also often mentioned toy product design problem humanized design.
And man-machine learn in product design, makes use of a toy product life, it pulled the distance between people and objects on a deep affection, established products and product organic union, established the harmonious relationship between the people and things, maximum mining child's potential, comprehensive balance the muscle to user can, to protect human health, thereby improving productivity.
This article mainly describes the ergonomics in the toy product design, the role of the harmony of people and things, citing the examples, and the combination of my argument graduation design topic - children's Trojan design, to discuss the above statement.
再问： 谢谢你的帮忙 那个题目是不是有点问题呢？感觉有点不对劲
再答： 题目应该这样翻译更好些： An overview of man-machine learning gives children's toys vitality