Skip to main navigation Skip to search Skip to main content

A case study of edutainment robot: Applying voice question answering to intelligent robot

  • Hyo Jung Oh*
  • , Chung Hee Lee
  • , Yi Gyu Hwang
  • , Myung Gil Jang
  • , Gue Park Jeon
  • , Kun Lee Yun
  • *Corresponding author for this work
  • Electronics and Telecommunications Research Institute
  • IEEE

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This paper presents a case study of edutainment robot, which is an intelligent robot for educational use with a voice-QA model applied. The emphatic functions of our robot are: analyzing spoken question from a student, finding an appropriate answer in Korean encyclopedia, and then serving the answer with speech synthesis. We develop the ESTk, which is an Automatic Speech Recognition (ASR) system based on Finite State Network (FSN) for processing Korean spoken questions. For answer extraction, we utilize machine learning techniques and pattern extraction method. With our live-update interaction method, our robot can be extended with new knowledge in real-time. By conducting a quiz game, we show a possibility of our robot as an edutainment robot.

Original languageEnglish
Title of host publication16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN
Pages410-415
Number of pages6
DOIs
StatePublished - 2007
Event16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN - Jeju, Korea, Republic of
Duration: 2007.08.262007.08.29

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN
Country/TerritoryKorea, Republic of
CityJeju
Period07.08.2607.08.29

Fingerprint

Dive into the research topics of 'A case study of edutainment robot: Applying voice question answering to intelligent robot'. Together they form a unique fingerprint.

Cite this