R. Bringula, Janszen Kiel L. Jose, Arnelle T. Lardizabal, John Raymon D. Lizaso
{"title":"Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students","authors":"R. Bringula, Janszen Kiel L. Jose, Arnelle T. Lardizabal, John Raymon D. Lizaso","doi":"10.4018/ijmhci.322457","DOIUrl":null,"url":null,"abstract":"This study determined the factors that influenced the usability of a mobile-based intelligent agent called “AskRed.” The design-related factors were evaluated in terms of performance, accuracy, responsiveness, aesthetics, and completeness. The usability of the software was determined in terms of satisfaction and intention to re-use the software. The software received favorable ratings from the students. Experts' software evaluation recommended strengthening the design of the intelligent agent in terms of security, performance, completeness, and ease-of-use. Multiple regression analyses showed that performance and completeness influenced satisfaction and intention to re-use. Aesthetics and responsiveness influenced satisfaction but not intention to re-use. Responsiveness had a negative impact on satisfaction. The predictive powers of the regression equations are 58% and 73%. This study provided empirical evidence on the predictors of usability of an intelligent agent used in a university setting.","PeriodicalId":43100,"journal":{"name":"International Journal of Mobile Human Computer Interaction","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijmhci.322457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study determined the factors that influenced the usability of a mobile-based intelligent agent called “AskRed.” The design-related factors were evaluated in terms of performance, accuracy, responsiveness, aesthetics, and completeness. The usability of the software was determined in terms of satisfaction and intention to re-use the software. The software received favorable ratings from the students. Experts' software evaluation recommended strengthening the design of the intelligent agent in terms of security, performance, completeness, and ease-of-use. Multiple regression analyses showed that performance and completeness influenced satisfaction and intention to re-use. Aesthetics and responsiveness influenced satisfaction but not intention to re-use. Responsiveness had a negative impact on satisfaction. The predictive powers of the regression equations are 58% and 73%. This study provided empirical evidence on the predictors of usability of an intelligent agent used in a university setting.