Enhancing Initial Job Candidate Screening with Cobots: A Survey-Based Study

Abstract: The integration of collaborative robots (Cobots) in recruitment processes has gained traction as organizations seek to enhance efficiency and accuracy in candidate selection. This study investigates the effectiveness of Cobots in the initial screening of job applicants through a comprehensive survey-based analysis. By collecting data from recruitment professionals and job applicants, we examine the impact of Cobot-assisted screening on various metrics, including timeefficiency, candidate satisfaction, and accuracy in shortlisting qualified candidates. Our findings indicate that Cobots significantly reduce the time required for initial screening while maintaining high accuracy levels. Additionally, candidates report a positive experience with the Cobot-assistedprocess, highlighting the potential for improved transparency and reduced bias. This study underscores the transformative potential of Cobots in modern recruitment practices, offering valuable insights for organizations considering the adoption of automated screening technologies.