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Professor Tsung-Ren Huang

 

 

Project Name

Development of socially interactive and emotionally sensitive artificial intelligence systems using big and thick behavioral and neuroimaging data

 

Project Intro

A better understanding of how the human brain and mind work can help us design better artificial intelligence (AI) systems and robots, and better AI systems and robots can be applied in research to help gain a better understanding of how the human brain and mind work. For this purpose, the team of the NTU neuroimaging center collaborates with scholars and experts from NTNU to: (1) understand how the brain process social and emotional information using machine/deep learning techniques, and (2) develop a socially interactive and emotionally sensitive chatbot. Specifically, the subproject 1 “fMRI hyperscanning for social interaction research”will build a system to synchronize the three MRI scanners in NTU, NCCU, & NCKU for studying the brain activities during social interaction; the subproject 2 “Investigating embodiment of emotion and cognition using MEG”will use MEG to clarify how bodily states and environmental factors affect cognitive and emotional states in the brain; the subproject 3 “A data sharing and analytics platform for the Imaging Center for Integrated Body, Mind, and Culture Research”will integrate data of the same research participant from different studies to accumulate big and deep/thick data in the neural and behavioral domains; the subproject 4 “Developing a sympathetic and humorous chatbot”will construct a chatbot in Mandawhrin Chinese, which will then be validated by the subprojects 1 & 2 for its humanness in social interaction and effectiveness in reducing human anxity/depression.

 

Project Host

 

Principal Investigator

Tsung-Ren Huang, assistant professor

Department of Psychology, NTU

 

Co-Principal Investigator

Jyh-Horng Chen, Professor

EE Dept, NTU

 

 Li-Min Wang, Professor

Physics Dept, NTU

 

Hsueh-Chih Chen, Professor

 EPC Dept, NTNU

 

Website To Link

PI

FB-Lab 

 

Host's Public Contact Method

Phone:02-3366-3104

E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

  

  Representative Pictures Of The Research

 

 


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