Abstract
Personality traits are essential parts of human behavior analysis and may be applied in scientific domains like job screening. Nowadays, organizations utilize self-assessment methodologies to evaluate people or groups to establish productive teams. Even though study has been done on questionnaires and other self-assessment techniques to profile a candidate or an employee, they are frequently mundane and repetitive. In this study, we present a serious 3D Escape Room game with the goal of analyzing behaviors based on the OCEAN Five Personality Traits model. This model encompasses an individual’s behavior on five dimensions: openness, conscientiousness, extraversion, agreeableness, and neuroticism. We created corresponding rooms to monitor the player’s gameplay style to develop customized models that assess personalities. These models use gameplay data generated by deep reinforcement learning agents that emulate human behavior, as a ground truth for each trait. Undergraduate and postgraduate students from Greece and Italy took part in our preliminary study and the game results are correlated with the baseline established by weighted questionnaires. The results show that there is indeed a correlation between the profiles from the questionnaires and the game.
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Acknowledgements
We would like to thank Professor Tsaousis Ioannis from the Kapodistrian University for providing the TPQue questionnaire, associate Professor Panagiotis Gkorezis from the Aristotle University of Thessaloniki for assisting in data collection in Greece, and Professor Anna Spagnolli from the University of Padua for her help in data collection in Italy.
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Liapis, G., Zacharia, K., Rrasa, K., Vlahavas, I. (2024). Serious Escape Room Game for Personality Assessment. In: Dondio, P., et al. Games and Learning Alliance. GALA 2023. Lecture Notes in Computer Science, vol 14475. Springer, Cham. https://doi.org/10.1007/978-3-031-49065-1_43
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DOI: https://doi.org/10.1007/978-3-031-49065-1_43
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