{"title":"聚类在软件中分类可取性:探索立体零售应用中产品反应卡的聚类分析","authors":"Diego González-Zúñiga, J. Carrabina","doi":"10.1109/DMIAF.2016.7574931","DOIUrl":null,"url":null,"abstract":"We perform clustering over the Product Reactions Cards in order to group the terms in 8 groups and 41 subgroups. A card sorting exercise among software engineers and UX practitioners was performed in order to achieve this. We present a preliminary case study using this classification with a retailing application in order to see the difference in connotations that result introducing stereoscopic depth to the GUI.","PeriodicalId":404025,"journal":{"name":"2016 Digital Media Industry & Academic Forum (DMIAF)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Clustering to categorize desirability in software: Exploring cluster analysis of Product Reaction Cards in a stereoscopic retail application\",\"authors\":\"Diego González-Zúñiga, J. Carrabina\",\"doi\":\"10.1109/DMIAF.2016.7574931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We perform clustering over the Product Reactions Cards in order to group the terms in 8 groups and 41 subgroups. A card sorting exercise among software engineers and UX practitioners was performed in order to achieve this. We present a preliminary case study using this classification with a retailing application in order to see the difference in connotations that result introducing stereoscopic depth to the GUI.\",\"PeriodicalId\":404025,\"journal\":{\"name\":\"2016 Digital Media Industry & Academic Forum (DMIAF)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Digital Media Industry & Academic Forum (DMIAF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMIAF.2016.7574931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Digital Media Industry & Academic Forum (DMIAF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMIAF.2016.7574931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clustering to categorize desirability in software: Exploring cluster analysis of Product Reaction Cards in a stereoscopic retail application
We perform clustering over the Product Reactions Cards in order to group the terms in 8 groups and 41 subgroups. A card sorting exercise among software engineers and UX practitioners was performed in order to achieve this. We present a preliminary case study using this classification with a retailing application in order to see the difference in connotations that result introducing stereoscopic depth to the GUI.
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