文章摘要
林鹭,熊艳,李勤政,杨丹凤.基于眼动追踪的座椅造型用户认知差异研究[J].包装工程,2022,43(10):136-144.
基于眼动追踪的座椅造型用户认知差异研究
Users' Cognitive Differences of Seat Modeling based on Eye Movement TrackingForest Heron Sichuan University
投稿时间:2022-01-05  
DOI:10.19554/j.cnki.1001-3563.2022.10.016
中文关键词: 眼动追踪技术  用户感知  语义匹配  产品特征
英文关键词: eye tracking technology  user perception  semantic matching  product features
基金项目:四川省科技计划重点研发项目(2018GZ0297)
作者单位
林鹭 四川大学成都 610065 
熊艳 四川大学成都 610065 
李勤政 四川大学成都 610065 
杨丹凤 四川大学成都 610065 
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中文摘要:
      目的 针对设计过程中存在潜在的设计意图与用户实际感知不一致的问题,依据较为客观量化的实验结果,以设计者风格意图为基准,研究了不同背景被试者对产品的感知差异。方法 采用语义差异法、眼动追踪技术和回顾性访谈,以家具座椅为实验样本,对42名被试者进行产品的语义匹配度实验。记录和分析被试者对产品特征的感知及意象决策过程的相关数据,对比不同背景用户的意象感知引起不同关注模式。结果 一般来说,工业设计背景被试者对产品语意感知拥有更高的匹配度;当工业设计背景被试者相比于非工业设计背景被试者的语义匹配度低时,形态特征注视点具有差异;不同背景的被试者对于座椅形态在椅背和椅面均表现有更高的关注度。结论 结果表明用户对产品特征的关注与意象感知相关,利用眼动技术能够较为客观地描述它们的关系。研究关于理解不同背景用户之间对产品的语义感知差异,辅助设计者有针对性操作设计特征,进行创新设计提供了一定支持。
英文摘要:
      In view of the inconsistency between the potential design intent and actual user perception in the design process, based on the objective and quantified experimental results, the paper aims to study the perception differences of the products from the participants with different backgrounds according to the designer's intent. Based on Semantic differential-SD experiment, eye tracking technology and retrospective interviews, using the chairs as experimental samples, 42 participants were conducted product semantics matching experiment. The data about participants’ perception of product features and the image decision-making process were recorded and analyzed to compare different attention patterns. Generally speaking, the participants with industrial design backgrounds have the higher matching degree to product semantic perception. When the semantic matching degree between different backgrounds, the gaze points of design features are different. And all participants with different backgrounds pay more attention on the back and surface of the chair.The results show that user’s attention to product features is related to the perception of the generated imagery, and the relationship can be described objectively with eye tracking technology. It will help to understand the perception differences between users with different backgrounds, and support designers to operate design features in a targeted way in the innovative design.
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