G. Liapis, K. Zacharia, K. Rrasa, A. Liapi, I. Vlahavas, “Modelling Core Personality Traits Behaviours in a Gamified Escape Room Environment”, 16th European Conference on Games Based Learning, September 2022

Authors:

  • G. Liapis, K. Zacharia, K. Rrasa, A. Liapi, I. Vlahavas

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Keywords:

  • gamification, personality, behaviours, Escape Room

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Abstract:

  • Personality Traits are one of the most important aspects of human behaviour analysis that can be widely used in a plethora of scientific fields. Nowadays, a variety of industries use self-assessment techniques to evaluate their employees or candidates to form effective teams based on the relationships between the personnel. The Big Five personality traits, also known as the OCEAN Five model, encompass an individual’s behaviour on five factors: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Currently, the evaluation is based on questionnaires, which are prone to subjectivity and can be biased. In this paper, we analyse the behaviours on which each trait is based, in a series of 3D Escape Rooms with the aim of collecting metrics in a number of settings/situations to effectively assess them, with the use of gamification. Each Escape Room has unique features and simulates special occasions to monitor the player’s reactions as well as gameplay style to generate specific models that calculate the level of each personality trait. The final profiling, however, is based on a combination of metrics from the different rooms since the behaviours are common and overlap with each other but can be evaluated in different situations. Results validate the mathematical models of metrics for each behaviour and crystallise the nature of the situations in which these behaviours can be modelled. Therefore, through gamification, a new generic model for categorising players, based on the Ocean five personality trait model, is generated
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School of Informatics
Aristotle University of Thessaloniki
54124 Thessaloniki, Greece

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Prof. Ioannis P. Vlahavas
tel: ++30 231099-8145
fax: ++30 231099-8362
e-mail: vlahavas@csd.auth.gr

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