2021 · 25 citations · 15 references
ComputingComputer ScienceHuman Resource ManagementArtificial IntelligenceHuman-computer InteractionNatural Language ProcessingApplicant Tracking SystemsConversational User InterfacesHiring Decision MakingTalent IdentificationChatbot InteractionChatbot InterviewingChatbot SystemsChatbotsFacial Expression DecodingFacial Expression RecognitionHuman Resource ChatbotsVirtual Interviews
The Human Resources (HR) departments in every company can face challenges regarding the number of job applicants that are applying for a job. So; The main idea of this paper is to help HR employees in collecting information about applicants to a specific job through identifying applicant's personal skills and through writing their CV in an organized manner and filtering or rearranging job applicants throw a chatbot interview that can discover fake CV skills and find applicant's personal skills. Afterward, the proposed model will recommend this applicant according to the personal skills the job requires. The model based on creating a chatBot to extract these skills through an interview. Also, the proposed model will provide facial expression recognition techniques to track the applicant's expressions throughout the interview. This virtual interviews could highly minimize the amount of effort the HR employee have to deal with. Also it rearranges job applicants to the right track.
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An Improved Tunicate Swarm Algorithm for Global Optimization and Image Segmentation
Essam H. Houssein, Bahaa El-din Helmy, Ahmed A. Elngar et al. · IEEE Access · 2021 · 103 citations · Full text