{"title":"使用生物识别系统的意向","authors":"B. Ngugi, A. Kamis, M. Tremaine","doi":"10.2979/ESERVICEJ.7.3.20","DOIUrl":null,"url":null,"abstract":"This study set out to investigate the critical factors that determine user intention to use a biometric system. We integrated previous research in the technology acceptance and biometric engineering literatures and identified six important factors: Perceived System Security, Perceived False Acceptance rates, Perceived False Rejection rates, Perceived System Invasiveness, System Trust and Facilitating Conditions. Eleven hypotheses were developed regarding the six factors to formulate direct and indirect influences of the six factors in a biometric intention-to-use model. The results support the eleven hypotheses and validate the model, which has an average variance explained of 31.1%. The contributions of the paper are discussed and future research directions are suggested.","PeriodicalId":133558,"journal":{"name":"e-Service Journal","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Intention to Use Biometric Systems\",\"authors\":\"B. Ngugi, A. Kamis, M. Tremaine\",\"doi\":\"10.2979/ESERVICEJ.7.3.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study set out to investigate the critical factors that determine user intention to use a biometric system. We integrated previous research in the technology acceptance and biometric engineering literatures and identified six important factors: Perceived System Security, Perceived False Acceptance rates, Perceived False Rejection rates, Perceived System Invasiveness, System Trust and Facilitating Conditions. Eleven hypotheses were developed regarding the six factors to formulate direct and indirect influences of the six factors in a biometric intention-to-use model. The results support the eleven hypotheses and validate the model, which has an average variance explained of 31.1%. The contributions of the paper are discussed and future research directions are suggested.\",\"PeriodicalId\":133558,\"journal\":{\"name\":\"e-Service Journal\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"e-Service Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2979/ESERVICEJ.7.3.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"e-Service Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2979/ESERVICEJ.7.3.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This study set out to investigate the critical factors that determine user intention to use a biometric system. We integrated previous research in the technology acceptance and biometric engineering literatures and identified six important factors: Perceived System Security, Perceived False Acceptance rates, Perceived False Rejection rates, Perceived System Invasiveness, System Trust and Facilitating Conditions. Eleven hypotheses were developed regarding the six factors to formulate direct and indirect influences of the six factors in a biometric intention-to-use model. The results support the eleven hypotheses and validate the model, which has an average variance explained of 31.1%. The contributions of the paper are discussed and future research directions are suggested.