Development of a Web-Based Selector Applicant Simulation Software with Integrated Proctoring System for Enhanced Recruitment Assessment
Year: 2025
Type: article
Abstract: : This research paper meticulously outlines the comprehensive development, rigorous implementation, and initial evaluation of a cutting-edge web-based selector applicant simulation software, intrinsically integrated with a sophisticated and multi-faceted proctoring system. This innovative platform is specifically engineered to revolutionize organizational recruitment and assessment paradigms, offering a highly realistic and deeply interactive virtual environment. Within this environment, job applicants are actively engaged in a curated sequence of meticulously designed, job-pertinent tasks, intricate scenarios, and comprehensive exercises. These simulations are strategically crafted to provide aholistic and granular evaluation of candidate attributes deemedcriticalforjobsuccess,encompassingtechnical skills proficiency, critical decision-making capabilities, problemsolving aptitude, behavioral competencies,and overall cultural fit for a specific organizationalrole. A cornerstone of this system is its seamlessly integrated proctoring component, which is paramountin upholding the integrity and impartiality of the assessment process. This system leverages advanced monitoring methodologies, including real-time video and audio surveillance, AI-driven behavioral analysis, and biometric verification, to vigilantly track applicant activities and proactively deter fraudulent behaviors throughout the entirety of the simulation-based assessment. By synergistically converging state-ofthe- artsimulation techniques with real-time, intelligent monitoring, the system furnishes organizations with a robust, dependable, and demonstrably efficient toolset. This enables the streamliningof complex hiringworkflows,reductionin recruitment cycle time, and enhancement of candidate quality, all while rigorously maintaining the highest standards of assessment integrity and data security. Preliminary efficacy evaluations of the proposed solutionrevealitssignificantpotentialtodeliver demonstrably accurate and reliable candidate assessments, strongly suggesting its transformative capacity to fundamentally reshape conventional recruitment practices, ushering in an era of more objective, datadriven, and secure talent acquisition strategies.
Authors: Prof. M. Karthikeyan, Vicky R, Niteesh J, Lakshmi R, Saranya S
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409571249