{"title":"A Usability and Accuracy Measurement of Smartphones Face Recognition","authors":"Ammar Haider, Nosheen Sabahat","doi":"10.1109/ICAI55435.2022.9773408","DOIUrl":null,"url":null,"abstract":"Smartphones are now omnipresent in all aspects of our lives. Innovation interconnects people towards sparing information, accessing data and personal information on smartphones. However, there is continuously a security threat. For this reason, modern smartphones have utilized face recognition feature to authenticate the users. Smartphone manufacturers claim that the face recognition technology is dependable, trustable, and secure. This research is done to test the usability measurement and accuracy analysis of face recognition by experiencing the user experiments on 200 participants, within lab swot, along with user experience and adoption decision. We explore the five usability components and fourteen diverse face behaviours and representation to authentication.","PeriodicalId":146842,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence (ICAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Artificial Intelligence (ICAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAI55435.2022.9773408","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
Smartphones are now omnipresent in all aspects of our lives. Innovation interconnects people towards sparing information, accessing data and personal information on smartphones. However, there is continuously a security threat. For this reason, modern smartphones have utilized face recognition feature to authenticate the users. Smartphone manufacturers claim that the face recognition technology is dependable, trustable, and secure. This research is done to test the usability measurement and accuracy analysis of face recognition by experiencing the user experiments on 200 participants, within lab swot, along with user experience and adoption decision. We explore the five usability components and fourteen diverse face behaviours and representation to authentication.