Misaki Matsuzawa, Hajime Iwata, Junko Shirogane, Y. Fukazawa
{"title":"Support method of usability evaluations for android applications based on operation histories","authors":"Misaki Matsuzawa, Hajime Iwata, Junko Shirogane, Y. Fukazawa","doi":"10.1109/ICDIPC.2015.7323043","DOIUrl":null,"url":null,"abstract":"Due to the prevalence of tablets, the usability of the User Interfaces (UIs) must be improved, but the number of support methods for usability evaluations for tablets is small. Herein we propose a method to automatically evaluate usability based on operation histories, including action frequency and operation times, and statistical analysis. Because our approach easily detects UI design problems, the burdens on developers and costs can be reduced. Using a small-scale case study and test with about 20 participants, we show that our approach can detect detailed problems with usability via a mostly automated process.","PeriodicalId":339685,"journal":{"name":"2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIPC.2015.7323043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Due to the prevalence of tablets, the usability of the User Interfaces (UIs) must be improved, but the number of support methods for usability evaluations for tablets is small. Herein we propose a method to automatically evaluate usability based on operation histories, including action frequency and operation times, and statistical analysis. Because our approach easily detects UI design problems, the burdens on developers and costs can be reduced. Using a small-scale case study and test with about 20 participants, we show that our approach can detect detailed problems with usability via a mostly automated process.