文献类型：期刊文献

中文题名：基于感性意象的工业机器人造型设计研究

英文题名：Research on modeling design of industrial robot based on perceptual image

作者：王雪洁[1];肖旺群[1,2]

机构：[1]安徽工业大学艺术与设计学院,安徽马鞍山243032;[2]华东理工大学艺术设计与传媒学院,上海200237

年份：2016

卷号：33

期号：8

起止页码：117

中文期刊名：机械设计

外文期刊名：Journal of Machine Design

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：安徽省高校人文社科重点资助项目(SK2015A384;SK2016A0165)

语种：中文

中文关键词：产品造型设计;工业机器人;感性工学;感性意象;眼动测试

外文关键词：product modeling design ; industrial robot; kansei engineering; perceptual image; eye tracking test

摘要：为研究工业机器人外观造型与用户主观偏好及情感需求的匹配程度,运用感性工学理论,通过工业机器人感性意象词汇确定、代表性样本选取、造型感性意象评价及眼动测试等展开定性和定量研究,深入挖掘典型感性意象词汇与工业机器人关键造型特征之间的映射关系,提取产品感性特征,获取用户的感性意象,并将研究成果应用于工业机器人造型设计中,为工业机器人的创新设计提供参考。
For researching the match degree between the appearance of industrial robot and user＇s subjective preferences and emotional needs, by determining perceptual image vocabularies of industrial robot, choosing typical samples, evaluating modeling perceptual image and performing eye tracking testing, the theories of kansei engineering was used to carry out qualitative and quantitative research. The mapping relation between typical perceptual image vocabularies and crucial shape features of industrial robot was found, also perceptual characteristics of products was extracted, then user＇s perceptual image was obtained. Finally, the study results were applied into modeling design of industrial robot which provides references for creative design of industrial robot products.