@inproceedings{881c3b80af994847b7cb6389cfa4d840,
title = "The Value of AI-Inferred Facial Personality Traits: Evidence from Chinese Financial Analysts",
abstract = "This study investigates the predictive power of facial Big Five personality traits, inferred by AI, on the earnings forecast accuracy of financial analysts. Contributing to the broader discourse on the relationship between facial personality traits and social outcomes, we examine this link through the lenses of self-fulfilling prophecy effects and genetic/hormonal influences. Utilizing deep neural network analysis of ID photos, we successfully extract personality traits that show significant correlations with job performance: extraversion and conscientiousness positively influence performance, whereas neuroticism has a negative impact. These findings underscore the potential of AI-inferred traits to effectively predict job performance. Moving forward, we plan to refine our deep learning model using alternative related databases, validate the reliability of AI-inferred facial personality traits, and further explore the underlying mechanisms. This research deepens our understanding of how facial personality traits correlate with professional success, offering valuable insights for both scholars and practitioners.",
keywords = "Personality traits, deep learning, financial analysts, job performance",
author = "Jiaxu Peng and Fan Feng",
note = "Publisher Copyright: {\textcopyright} 2024 Pacific Asia Conference on Information Systems. All Rights Reserved.; 28th Pacific Asia Conference on Information Systems, PACIS 2024 ; Conference date: 01-07-2024 Through 05-07-2024",
year = "2024",
language = "英语",
series = "Proceedings - 28th Pacific Asia Conference on Information Systems, PACIS 2024",
publisher = "Pacific Asia Conference on Information Systems",
booktitle = "Proceedings - 28th Pacific Asia Conference on Information Systems, PACIS 2024",
}