GitHub / KSwaviman / Cracking-The-Personality-Code-A-Behavioral-Research

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.

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Topics: app-usage-data, big-five-traits, correlation-analysis, knn, machine-learning, mbti-personality, mini-ipip, mobile-sensing, ols-regression-model, personality-assessment, personality-inventory, personality-prediction, personality-traits, privacy, psychology, random-forest, smartphone-sensor-data, support-vector-machines, xgboost

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