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MSc Thesis Defense Announcement of Tristan Szucs:"Lip Synchronization for ECA Rendering with Self-Adjusted POMDP Policies "

Thursday, June 25, 2020 - 10:00 to 12:00

SCHOOL OF COMPUTER SCIENCE

 

The School of Computer Science is pleased to present…

 

MSc Thesis Defense by: Tristan Szucs

 
 
Date: Thursday June 25, 2020
 
Time:  10:00 am – 12:00pm
 
 

Abstract:

 
The recent advancements in virtual reality have allowed for the creation of autonomous agents to aid humans in the retrieval and processing of useful digital information or to aid humans in requesting tasks to be completed by these autonomous agents. Known as embodied conversational agents (ECA), these intelligent agents bridge the physical and virtual worlds by providing natural verbal and non-verbal forms of communication with the user.  To provide a positive user experience, it is essential for an ECA not only to appear human-like but also correctly identify the user’s intention so the ECA can correctly assist the user.  This thesis continues the research done by our research group investigating the further improvement of POMDP-based dialogue management using machine learning on POMDP’s belief state history.  This thesis integrates a technique to match lip movements with the rendered ECA audio alongside the automatically selected emotion.  Finally, this research conducts experiments using machine learning techniques to adjust POMDP policies and compare its effectiveness in terms of dialogue lengths and successful intention discovery rates.
 
Keywords: POMDP, Q-LEARNING, ECA, Expressive, Dialogue Management
 
 

Thesis Committee:

 
Internal Reader: Dr. Asish Mukhopadhyay
 
External Reader: Dr. Abdul A. Hussein   
 
Advisor: Dr. Xiaobu Yuan
 
Chair:    Dr. Pooya Moradian Zadeh
 
 

MSc Thesis Defense Announcement   Vector Institute Artifical Intelligence approved seminar logo

 

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