摘要
为在设备外观、人机以及色彩方面对现有牛奶包装机器人进行改进,提出运用感性工学理论,针对牛奶包装机器人进行相关词汇收集与分析,通过视觉模拟评分法(VAS)、KJ法等方法展开定性以及定量研究,获得使用者对牛奶包装机器人的深度感性诉求,以建立产品特征,减少设计师与使用者之间的认知误差,并将理论研究成果应用于产品设计中,为牛奶包装机器人的创新设计提供参考。
Aiming at the manufacturer's needs of appearance, man-- machine and color of the existing milk packing robot, the application of kansei engineering theory were promoted to collect and analyze the related vocabulary of milk packing robot. By means of visual simulation scoring method (VAS) and KJ method, qualitative and quantitative studies were carried out, and the perceptual demands of users for milk packing robots are obtained. Moreover, the cognitive errors between designers and users could be reduced, and the theoretical research results were applied in product design. Therefore, this would provide reference for milk packing robot innovative design.
出处
《食品与机械》
CSCD
北大核心
2017年第10期111-114,共4页
Food and Machinery
基金
安徽高校人文社科重点资助项目(编号:SK2015A384
SK2016A0165)
上海市设计学Ⅳ类高峰学科资助项目(编号:DC17013)
国家发改委芜马合机器人集聚区资助子项目(编号:2014Y4-1)
安徽省专业综合改革试点项目(编号:2015zy015)
关键词
工业设计
感性工学
牛奶包装机器人
认知误差
感性诉求
industrial design
kansei engineering
milk packing robot
cognitive errort perceptual appeal