Research Article
Physiognomy in New Era: A Survey of Automatic Personality Prediction Based on Facial Image
@INPROCEEDINGS{10.1007/978-3-030-14657-3_2, author={Xu Jia and Weijian Tian and Yangyu Fan}, title={Physiognomy in New Era: A Survey of Automatic Personality Prediction Based on Facial Image}, proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings}, proceedings_a={IOTAAS}, year={2019}, month={3}, keywords={Personality prediction Face recognition Machine learning}, doi={10.1007/978-3-030-14657-3_2} }- Xu Jia
Weijian Tian
Yangyu Fan
Year: 2019
Physiognomy in New Era: A Survey of Automatic Personality Prediction Based on Facial Image
IOTAAS
Springer
DOI: 10.1007/978-3-030-14657-3_2
Abstract
At present, personality computing technology facilitates the understanding, prediction, and management of human behavior. With the increasing importance of faces in personal daily assessments, establishing a relationship between facial morphological features and personality traits is a major breakthrough in personality computing technology. This paper is a survey of such technology of automatic personality prediction based on face and it aims at providing not only a solid knowledge base about the state-of-the-art in automatic personality prediction, but also to provide a conceptual model of automatic personality prediction, based on the literature. In addition, the analysis of the prediction results of the existing researches is emphasized, and there are still problems in the field, such as lack of information on research data, single age group of the sample population, incomplete design characteristics of the artificial design etc., and the potential applications and development directions are determined.
