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MPEG-4 Face Animation Application Framework

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System with an Embodied Conversational Agent (ECA) ... guide which describes the city of Dubrovnik to two visitors and interacts with them ... – PowerPoint PPT presentation

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Title: MPEG-4 Face Animation Application Framework


1
Multiparty Communication with a Tour Guide ECA
Aleksandra Cerekovic HOTLab group Department of
telecommunications Faculty of electrical
engineering and computing Zagreb
University http//hotlab.tel.fer.hr
2
Outline
  • Project overview
  • Background Information
  • eNTERFACE 08 system
  • features
  • scenario
  • configuration
  • Project members

3
Project Overview
  • Project target
  • System with an Embodied Conversational Agent
    (ECA)
  • ECA is a tour guide which describes the city of
    Dubrovnik to two visitors and interacts with them
  • We aim to explore issues of a multiparty support
    in ECA system with focus on
  • Dialogue support
  • Participant roles
  • Interaction Management
  • Dialogue structure
  • Nonverbal behavior model of an ECA
  • Getting attention, model of gazing, maintaining a
    conversational flow

4
Background Information
  • During eNTERFACE 06 workshop we developed a Tour
    Guide system
  • System is based on common GECA framework
  • GECA Platform, GECA Protocol, GECA Plugs
  • Connects various system components
  • Tranfers messages between components in the real
    time
  • Enables simple system integration

5
eNTERFACE 08 system scenario
  • In our system scenario ECA has a role of narrator
  • ECA takes visitor through 5 different scenes in
    the city
  • Users can interrupt ECA
  • They can raise their hands to take a speakers
    role or just say something
  • User utterances are predefined they can make
    comments, have requests or just express thier
    willingness to leave the session
  • Durring interaction ECA keeps initiative and gets
    attention

6
eNTERFACE 08 system design
7
Component functionalities (I)
  • Input
  • Captures speech and users position, size,
    openness of the eyes and the mouth, facial
    orientation (Okaos Vision)
  • Deliberative phase components
  • Input understanding
  • Interprets raw messages coming from the system
    input
  • Detects speaker and his utterance (request,
    comment, leave the system)
  • Detects speech collision and mutual conversation
    between users
  • Decision Making Planner (Dialogue Management)
  • Generates transitions between dialogue states in
    a multiparty interaction (Information State,
    Nonverbal Event, Specifying addressee, Grounding
    judgment, Assuming the next speaker)
  • MIDIKI DM toolkit will be extended to manage
    multiparty interaction

8
Component functionalities (II)
  • Deliberative phase components
  • Behavior Planner
  • Generates appropriate response by an ECA
  • Dynamically changes ECAs behaviors according the
    Information State
  • Output
  • Player
  • Generates ECAs behaviors selected by Behavior
    Planner
  • Has a support to stop utterance and start a new
    one

9
Project Members
  • Project Researches
  • Takuya Furukawa (Input, Input Understanding)
  • Huang Hsuang- Hung (DM, Behavior Planner),
    Shinya Takeda and Yuji Yamaoka (DM)
  • Aleksandra Cerekovic (Output)
  • Project supervisors
  • Toyoaki Nishida
  • Yukiko Nakano
  • Igor S. Pandzic
  • University of Kyoto, Graduate School of
    Informatics, Nishida-Sumi Lab
  • Seikei University (Tokyo), Faculty of Science
    and Technology
  • University Of Zagreb, Faculty of Electrical
    Engineering and Computing, HOTLab group
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