{"title":"Towards quality indicators for supporting the evaluation of interactive systems HCI","authors":"Ahlem Assila, K. Oliveira, H. Ezzedine","doi":"10.1145/2671470.2671479","DOIUrl":null,"url":null,"abstract":"During these recent decades, various Human-Computer-Interfaces (HCI) methods and tools have been proposed. These are used to perform qualitative or quantitative evaluation. Generally, the results of these evaluations are presented independently which make difficult to the decision making. For this purpose, we have needed to analyze the qualitative and quantitative data with a complementary form. With this finding, we propose the integration of qualitative and quantitative evaluation using quality indicators based on the ISO/IEC 15939 standard. These indicators are tools that provide a basis for decision making to evaluate HCI quality relatively to quality criteria. This article highlights an example of constructing and using an indicator with a result of the first experiments to illustrate its utility.","PeriodicalId":269028,"journal":{"name":"Ergonomie Et Informatique Avancée","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ergonomie Et Informatique Avancée","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2671470.2671479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
During these recent decades, various Human-Computer-Interfaces (HCI) methods and tools have been proposed. These are used to perform qualitative or quantitative evaluation. Generally, the results of these evaluations are presented independently which make difficult to the decision making. For this purpose, we have needed to analyze the qualitative and quantitative data with a complementary form. With this finding, we propose the integration of qualitative and quantitative evaluation using quality indicators based on the ISO/IEC 15939 standard. These indicators are tools that provide a basis for decision making to evaluate HCI quality relatively to quality criteria. This article highlights an example of constructing and using an indicator with a result of the first experiments to illustrate its utility.