Year: 2024
Type: article
Abstract: —Interviews are essential for evaluating candidates’ skills, knowledge, and suitability for job roles, while mock interviews serve as valuable tools for preparation. With rapid advancements in artificial intelligence (AI) and machine learning (ML), automated interview evaluation has transformed recruitment by offering more objective, efficient, and comprehensive assessments compared to traditional methods. This survey re- views recent AI-driven methodologies for candidate evaluation in mockinter view settings, focusing on multi-modal techniques such as facial emotion recognition, speech analysis, text mining, and nonverbal behavior analysis. It discusses the effectiveness and limitations of various approaches, providing insights into how AI models assess emotional states, speech confidence, personality traits, and knowledge for comprehensive candidate evaluation.
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4405418383