Journal of Advanced Transportation / 2021 / Article / Tab 1 / Research Article
2.5D Facial Personality Prediction Based on Deep Learning Table 1 Summary of the literatures on the accuracy of personality prediction.
References N photoAssessment Trait Highest accuracy (%) [12 , 13 ] 186 Self-report Conscientiousness (M) 81.56 Conscientiousness (F) 82.22 Skepticism (M) 72.64 Skepticism (F) 82.22 [14 , 15 ] 66 Other report Dominance 91.23 Threatening 90 Extraversion [7 ] 244 Self-report Openness, striving, and domination (F) 63 Reliability, friendliness, and responsibility (M) 65 [16 ] 12,447 Self-report Big Five (BF) 58 [17 ] 608 Self-report Neuroticism 82.35 Extraversion 84.31 Rigorism 84.31 [18 ] 829 Other report Neuroticism, openness, and extraversion 65 [19 ] 1856 Other report Criminality 89.51 [15 ] 220 Other report Warmth 76 Reliability 81 [20 ] 480 Other report Intelligence, maturity, sociality, dominance, warmth, and credibility 80 [19 ] 1856 Other report Criminality 89.5 [21 ] 10,000 Other report BF 89.11 [22 ] 10,000 Other report BF 90.94
Note . The table reflects the prediction accuracies of existing studies on personality prediction with images of the whole face. N photo is the number of samples, assessment is the personality assessment method of the study, M is the result for images of males, and F is the result for images of females.