{"title":"UX套件:触摸传感器评估平台","authors":"Justin Mockler","doi":"10.1145/2628363.2628431","DOIUrl":null,"url":null,"abstract":"We present UX Suite, which is a set of free testing tools that can be downloaded and used to evaluate the touch sensor performance of Android devices. The tools in the application focus on evaluating touchscreen sensor quality and human performance on mobile devices. Current tests include the Fitts' test, which is one of the most widely accepted predictive models for testing the accuracy of target selection, and an accidental activation test. Additional tests will be included in the future that will measure other characteristics of the touch sensor. This paper discusses the application and a user study that was conducted to assess the application's usability. The results of this study show that users are able and willing to complete the tests in the application without a moderator. Due to the remote testing features, this will allow large, distributed user studies to be run with little oversight from researchers.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"11 1","pages":"631-636"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"UX suite: a touch sensor evaluation platform\",\"authors\":\"Justin Mockler\",\"doi\":\"10.1145/2628363.2628431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present UX Suite, which is a set of free testing tools that can be downloaded and used to evaluate the touch sensor performance of Android devices. The tools in the application focus on evaluating touchscreen sensor quality and human performance on mobile devices. Current tests include the Fitts' test, which is one of the most widely accepted predictive models for testing the accuracy of target selection, and an accidental activation test. Additional tests will be included in the future that will measure other characteristics of the touch sensor. This paper discusses the application and a user study that was conducted to assess the application's usability. The results of this study show that users are able and willing to complete the tests in the application without a moderator. Due to the remote testing features, this will allow large, distributed user studies to be run with little oversight from researchers.\",\"PeriodicalId\":74207,\"journal\":{\"name\":\"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)\",\"volume\":\"11 1\",\"pages\":\"631-636\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2628363.2628431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2628363.2628431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present UX Suite, which is a set of free testing tools that can be downloaded and used to evaluate the touch sensor performance of Android devices. The tools in the application focus on evaluating touchscreen sensor quality and human performance on mobile devices. Current tests include the Fitts' test, which is one of the most widely accepted predictive models for testing the accuracy of target selection, and an accidental activation test. Additional tests will be included in the future that will measure other characteristics of the touch sensor. This paper discusses the application and a user study that was conducted to assess the application's usability. The results of this study show that users are able and willing to complete the tests in the application without a moderator. Due to the remote testing features, this will allow large, distributed user studies to be run with little oversight from researchers.