Modeling Digital Personality: A Fuzzy-Logic-Based Myers–Briggs Type Indicator for Fine-Grained Analytics of Digital Human-Reference-Cited by-同舟云学术

Modeling Digital Personality: A Fuzzy-Logic-Based Myers–Briggs Type Indicator for Fine-Grained Analytics of Digital Human

Published:2024-02 Issue:1 Volume:11 Page:1096-1107
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Wang Tan¹,Ye Peijun²,Lv Hongqiang¹,Gong Weichao²,Lu Hao³^ORCID,Wang Fei-Yue²^ORCID

Affiliation:

1. Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Major Science and Technology (S&T) Project of China

Guangdong Provincial Key Research and Development Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/10414252/10057228.pdf?arnumber=10057228

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