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针对老年用户的手机应用程序界面图标辨识度研究
引用本文:汪颖,余姝姝.针对老年用户的手机应用程序界面图标辨识度研究[J].包装工程,2019,40(8):190-196.
作者姓名:汪颖  余姝姝
作者单位:浙江理工大学 通用设计研究所, 杭州 310018;浙江省丝绸与时尚文化研究中心, 杭州 310018;浙江理工大学 通用设计研究所,杭州,310018
基金项目:教育部人文社会科学研究青年基金《农村老年人公共产品需求分析与精准设计实证研究》(19YJC760099)
摘    要:目的探索影响老年用户辨识手机应用程序界面图标的因素,并解析老年用户对手机应用程序界面图标的辨识规律。方法从老年用户常用的6款应用程序中提取出25个图标为实验对象,由60名被试完成特定的匹配任务,通过辨识率分析影响图标认知的用户特征因素,通过混淆矩阵分析产生混淆的对象及原因,进而探究老年用户对图标的认知规律与辨识机制。结果年龄对于辨识率的主效应不显著(F=1.403,p0.05),性别对于辨识率的主效应不显著(F=12.731,p0.05),使用手机经验对于辨识率的主效应显著(F=0.995,p0.001)。结论年龄与性别对辨识率的影响并不明显,低经验水平的老年用户更易混淆应用程序界面图标。

关 键 词:图标辨识  手机应用程序  老年人  混淆矩阵
收稿时间:2018/9/24 0:00:00
修稿时间:2019/4/20 0:00:00

Icon Identification of Mobile Application Interface for Elderly Users
WANG Ying and YU Shu-shu.Icon Identification of Mobile Application Interface for Elderly Users[J].Packaging Engineering,2019,40(8):190-196.
Authors:WANG Ying and YU Shu-shu
Affiliation:1.Universal Design Institute, Zhejiang Sci-Tech University, Hangzhou 310018, China; 2.Silk and fashion Culture Research Center of Zhejiang Province, Hang Zhou 310018, China and 1.Universal Design Institute, Zhejiang Sci-Tech University, Hangzhou 310018, China
Abstract:The paper aims to explore the factors influencing the older people to identify icons in the application interface of phone, and to resolve the identification mechanism of user interface icons of mobile phone application. From six applications that are commonly used by older users, 25 icons ware extracted as experimental objects. Sixty older persons were invited to complete specific matching tasks. The user characteristics factors affecting older uses to recognize the icons were analyzed through recognition rate. Through the confusion matrix analysis object and the reasons of the confusion, the cognitive laws and recognition mechanism of older users on icons were discussed. The main effect of age on the recognition rate was not significant(F=1.403, p>1.403), and gender in the main effect of recognition rate was not significant(F=12.731, p>12.731), the use experience of mobile phones for the recognition rate has significant effects(F= 0.995, p< 0.001). The effect of age and gender on identification is not obvious, and older users with less experience are more likely to confuse application interface icons.
Keywords:
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