Abstract
Robot Audition enables a robot to listen to simultaneous utterances via its own ears by localizing and separating sound sources and recognizing separated sounds. Although several applications are developed as a proof of concept, such capabilities of robot audition have not been well shaped in the context of applications, particularly, in multi-parson interactions. This paper focuses on the question ''what is the next step when a robot and/or system can listen to several utterances at once?'' As an example of multi-party interactions, the paper describes a quizmaster robot for speech-based Jeopardy! like games with two interaction models, school-class-type and auction-type. The player of the quiz answers a question by getting the right to answer in the former, while he/she can say an answer directly. Empirical evaluation of the system and lessons are discussed.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
| Editors | Fernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1787-1792 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538626528 |
| DOIs | |
| Publication status | Published - 2018 Dec 4 |
| Event | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States Duration: 2017 Dec 14 → 2017 Dec 16 |
Other
| Other | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 17/12/14 → 17/12/16 |
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Keywords
- auction interaction
- multi-party interaction
- quizemaster robot
- Robot audition
- school-class interaction
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Safety, Risk, Reliability and Quality
Cite this
Multi-party Interactions by Quizmaster Robot in Speech-Based Jeopardy! Like Games. / Nishimuta, Izaya; Itoyama, Katsutoshi; Yoshii, Kazuyoshi; Okuno, Hiroshi G.
Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. ed. / Fernando G. Tinetti; Quoc-Nam Tran; Leonidas Deligiannidis; Mary Qu Yang; Mary Qu Yang; Hamid R. Arabnia. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1787-1792 8561078.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-party Interactions by Quizmaster Robot in Speech-Based Jeopardy! Like Games
AU - Nishimuta, Izaya
AU - Itoyama, Katsutoshi
AU - Yoshii, Kazuyoshi
AU - Okuno, Hiroshi G.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - Robot Audition enables a robot to listen to simultaneous utterances via its own ears by localizing and separating sound sources and recognizing separated sounds. Although several applications are developed as a proof of concept, such capabilities of robot audition have not been well shaped in the context of applications, particularly, in multi-parson interactions. This paper focuses on the question ''what is the next step when a robot and/or system can listen to several utterances at once?'' As an example of multi-party interactions, the paper describes a quizmaster robot for speech-based Jeopardy! like games with two interaction models, school-class-type and auction-type. The player of the quiz answers a question by getting the right to answer in the former, while he/she can say an answer directly. Empirical evaluation of the system and lessons are discussed.
AB - Robot Audition enables a robot to listen to simultaneous utterances via its own ears by localizing and separating sound sources and recognizing separated sounds. Although several applications are developed as a proof of concept, such capabilities of robot audition have not been well shaped in the context of applications, particularly, in multi-parson interactions. This paper focuses on the question ''what is the next step when a robot and/or system can listen to several utterances at once?'' As an example of multi-party interactions, the paper describes a quizmaster robot for speech-based Jeopardy! like games with two interaction models, school-class-type and auction-type. The player of the quiz answers a question by getting the right to answer in the former, while he/she can say an answer directly. Empirical evaluation of the system and lessons are discussed.
KW - auction interaction
KW - multi-party interaction
KW - quizemaster robot
KW - Robot audition
KW - school-class interaction
UR - http://www.scopus.com/inward/record.url?scp=85060575221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060575221&partnerID=8YFLogxK
U2 - 10.1109/CSCI.2017.313
DO - 10.1109/CSCI.2017.313
M3 - Conference contribution
AN - SCOPUS:85060575221
SP - 1787
EP - 1792
BT - Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
A2 - Tinetti, Fernando G.
A2 - Tran, Quoc-Nam
A2 - Deligiannidis, Leonidas
A2 - Yang, Mary Qu
A2 - Yang, Mary Qu
A2 - Arabnia, Hamid R.
PB - Institute of Electrical and Electronics Engineers Inc.
ER -