TY - GEN
T1 - Physiognomy in new era
T2 - 4th International Conference on IoT as a Service, IoTaaS 2018
AU - Jia, Xu
AU - Tian, Weijian
AU - Fan, Yangyu
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.
PY - 2019
Y1 - 2019
N2 - . 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.
AB - . 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.
KW - Face recognition
KW - Machine learning
KW - Personality prediction
UR - https://www.scopus.com/pages/publications/85070918597
U2 - 10.1007/978-3-030-14657-3_2
DO - 10.1007/978-3-030-14657-3_2
M3 - 会议稿件
AN - SCOPUS:85070918597
SN - 9783030146566
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 12
EP - 29
BT - IoT as a Service- 4th EAI International Conference, IoTaaS 2018, Proceedings
A2 - Li, Bo
A2 - Yang, Mao
A2 - Yan, Zhongjiang
A2 - Yuan, Hui
PB - Springer Verlag
Y2 - 17 November 2018 through 18 November 2018
ER -