LEE_Sangyoon.pdf (9.16 MB)
Supervised Hybrid Expression Control Framework for a Lifelike Affective Avatar
thesis
posted on 2013-10-24, 00:00 authored by Sangyoon LeeThe use of an avatar-enabled application has been rapidly growing over the last decade as it promises more natural computer interaction with advanced technologies in various domains. Furthermore, recent research efforts towards natural and affective avatar capabilities have become more prevalent in the field. However, developing such application still remains very hard and time-consuming task. This is mainly because a believable avatar model intuitively aims to mimic a real human including realistic appearance and wide spectrum of complex behavior. This thesis presents a high quality visualization method and a behavior-modeling framework that can enhance user experience with an autonomous avatar and eventually achieve the goal of an avatar as a means of natural lifelike computer interface. A hybrid behavior modeling technique sets the middle ground to orchestrate both rule-based and data-driven models. Highly realistic avatar visuals with emotionally expressive behavior model offers better congruency and naturalness at the same time to increase avatar believability. A user study is conducted to evaluate the perceived naturalness of the presented behavior model within an autonomous expressive storytelling context. As we establish a better tractable model for an avatar as more natural alternative computer interface, it will broaden the possibilities of our computation needs where we suffer from our limited resources.
History
Advisor
Johnson, Andrew E.Department
Computer ScienceDegree Grantor
University of Illinois at ChicagoDegree Level
- Doctoral
Committee Member
Leigh, Jason Di Eugenio, Barbara Renambot, Luc Jones, SteveSubmitted date
2013-08Language
- en
Issue date
2013-10-24Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC