International Journal of Computer Science and Humanitarian AI
Vol. 3 No. 2 (2026): IJCSHAI (In Press)

Employee Aptitude & Personality testing using Gamification for more accurate results

Alexander, Raymond (Unknown)
Manalu, Sonya Rapinta (Unknown)



Article Info

Publish Date
02 Nov 2026

Abstract

The concept of "gamification" and how it is applied to make boring, tedious work seem exciting, rewarding, and fun is becoming more prevalent in many industries. Gamification has made many mundane tasks seem enjoyable and rewarding through the use of simple reward systems, which is something we typically find in games. In addition to enhancing employee motivation to complete tasks, there are indications that gamification could be an effective method to evaluate an individual's psychological makeup. This research will investigate the possibility of using gamified systems as a way to assess an employee's potential to perform at a high level (aptitude) and their personality characteristics. It is suggested that game-based assessments will yield more reliable information regarding an employee's ability to think critically, make decisions based upon data, and manage resources than conventional testing methods. Because employees are evaluated through their performance in the game, the employee does not experience the anxiety associated with traditional testing, the employee does not have to worry about providing socially desirable responses, and the employee does not have to worry about answering questions honestly. The proposed approach allows for evaluation of employee competencies, including problem solving, adaptability, risk assessment, and strategic planning in simulated environments related to specific jobs.

Copyrights © 2026






Journal Info

Abbrev

ijcshai

Publisher

Subject

Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

International Journal of Computer Science and Humanitarian AI (IJCSHAI) is an international journal published biannually in February and October. The Journal focuses on various issues: Computer Science, Artificial Intelligence (AI), Fuzzy Systems, Expert Systems, Geo-AI, Machine Learning, Deep ...