Yi-Chi Chou, Felicia R. Wongso, Chunxu Chao, Han-Yen Yu
{"title":"An AI Mock-interview Platform for Interview Performance Analysis","authors":"Yi-Chi Chou, Felicia R. Wongso, Chunxu Chao, Han-Yen Yu","doi":"10.1109/ICIET55102.2022.9778999","DOIUrl":null,"url":null,"abstract":"The rise of AI and the epidemic situation bring about the implementation of virtual hiring practices. Our proposed Mock-Interview Platform (MIP) is a mock-interview software that provides users with up-to-date interview questions and AI-assisted feedback. This study designed a video interview platform to assist recruiters in effectively selecting potential candidates and provide job candidates a means to conduct mock interviews. The platform integrates visual, audio, and textual features to analyze emotions, head pose, voice, DISC personality traits, and intrinsic traits, as well as evaluate the overall interview performance. The experiment results showed that the prediction scores produced by the platform yielded satisfactory outcomes.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Information and Education Technology (ICIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIET55102.2022.9778999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The rise of AI and the epidemic situation bring about the implementation of virtual hiring practices. Our proposed Mock-Interview Platform (MIP) is a mock-interview software that provides users with up-to-date interview questions and AI-assisted feedback. This study designed a video interview platform to assist recruiters in effectively selecting potential candidates and provide job candidates a means to conduct mock interviews. The platform integrates visual, audio, and textual features to analyze emotions, head pose, voice, DISC personality traits, and intrinsic traits, as well as evaluate the overall interview performance. The experiment results showed that the prediction scores produced by the platform yielded satisfactory outcomes.