Skip to main content

Spoken Dialogue System for a Human-like Conversational Robot ERICA

  • Conference paper
  • First Online:
9th International Workshop on Spoken Dialogue System Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 579))

Abstract

This article gives an overview of our symbiotic human-robot interaction project, which aims at an autonomous android who behaves and interacts just like a human.   A conversational android ERICA is designed to conduct several social roles focused on spoken dialogue, such as attentive listening (similar to counseling) and job interview. Design principles in developing these spoken dialogue systems are described, in particular focused on the attentive listening system. Generation of backchannels, fillers and laughter is also addressed to make human-like conversation behaviors.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://julius.osdn.jp.

  2. 2.

    http://voicetext.jp.

References

  1. Glas DF, Minato T, Ishi CT, Kawahara T, Ishiguro H (2016) ERICA: the ERATO intelligent conversational android. In: Proceedings of RO-MAN, pp 22–29

    Google Scholar 

  2. Inoue K, Milhorat P, Lala D, Zhao T, Kawahara T (2016) Talking with ERICA, an autonomous android. In: Proceedings of SIGdial meeting discourse & dialogue, volume Demo. Paper, pp 212–215

    Google Scholar 

  3. Milhorat P, Lala D, Inoue K, Tianyu Z, Ishida M, Takanashi K, Nakamura S, Kawahara T (2017) A conversational dialogue manager for the humanoid robot ERICA. In: Proceedings of international workshop spoken dialogue systems (IWSDS)

    Google Scholar 

  4. Fujie S, Matsuyama Y, Taniyama H, Kobayashi T (2009) Conversation robot participating in and activating a group communication. In: Proceedings of InterSpeech, pp 264–267

    Google Scholar 

  5. Bohus D, Horvitz E (2009) Models for multiparty engagement in open-world dialog. In: Proceedings of SIGdial

    Google Scholar 

  6. Lala D, Milhorat P, Inoue K, Ishida M, Takanashi K, Kawahara T (2017) Attentive listening system with backchanneling, response generation and flexible turn-taking. In: Proceedings of SIGdial meeting discourse & dialogue, pp 127–136

    Google Scholar 

  7. DeVault D, Artstein R, Benn G, Dey T, Fast E, Gainer A, Georgila K, Gratch J, Hartholt A, Lhommet M, Lucas G, Marsella S, Morbini F, Nazarian A, Scherer S, Stratou G, Suri A, Traum D, Wood R, Xu Y, Rizzo A, Morency L-P (2014) SimSensei Kiosk: avirtual human interviewer for healthcare decision support. In: Proceedings of AAMAS

    Google Scholar 

  8. Kobori T, Nakano M, Nakamura T (2016) Small talk improves user impressions of interview dialogue systems. In: Proceedings of SIGDial, pp 370–380

    Google Scholar 

  9. Ranganath R, Jurafsky D, McFarland D (2009) It’s not you, it’s me: detecting flirting and its misperception in speed-dates. In: Proceedings of EMNLP

    Google Scholar 

  10. Ueno S, Inaguma H, Mimura M, Kawahara T (2018) Acoustic-to-word attention-based model complemented with character-level CTC-based model. In: Proceedings of IEEE-ICASSP, pp 5804–5808

    Google Scholar 

  11. Levitan R, Hirschberg J (2011) Measuring acoustic-prosodic entrainment with respect to multiple levels and dimensions. In: Proceedings of InterSpeech, pp 3081–3085

    Google Scholar 

  12. Xiao B, Georgiou PG, Imel ZE, Atkins D, Narayanan S (2013) Modeling therapist empathy and vocal entrainment in drug addiction counseling. In: Proceedings of InterSpeech, pp 2861–2864

    Google Scholar 

  13. Kitaoka N, Takeuchi M, Nishimura R, Nakagawa S (2005) Response timing detection using prosodic and linguistic information for human-friendly spoken dialog systems. J Jpn Soc Artif Intell 20(3):220–228

    Google Scholar 

  14. Kitaoka N, Takeuchi M, Nishimura R, Nakagawa S (2005) Response timing detection using prosodic and linguistic information for human-friendly spoken dialog systems. J Jpn Soc Artif Intell 20(3):220–228

    Google Scholar 

  15. Kawahara T, Uesato M, Yoshino K, Takanashi K (2015) Toward adaptive generation of backchannels for attentive listening agents. In: Proceedings of international workshop spoken dialogue systems (IWSDS)

    Google Scholar 

  16. Kawahara T, Yamaguchi T, Inoue K, Takanashi K, Ward N (2016) Prediction and generation of backchannel form for attentive listening systems. In: Proceedings of INTERSPEECH, pp 2890–2894

    Google Scholar 

  17. Ward N (1996) Using prosodic clues to decide when to produce back-channel utterances. In: Proceedings of ICSLP, pp 1728–1731

    Google Scholar 

  18. Ward N, Tsukahara W (2000) Prosodic features which cue back-channel responses in English and Japanese. J Pragmat 32(8):1177–1207

    Article  Google Scholar 

  19. Koiso H, Horiuchi Y, Tutiya S, Ichikawa A, Den Y (1998) An analysis of turn-taking and backchannels based on prosodic and syntactic features in Japanese map task dialogs. Lang Speech 41(3–4):295–321

    Article  Google Scholar 

  20. Andersson S, Georgila K, Traum D, Aylett M, Clark RAJ (2010) Prediction and realisation of conversational characteristics by utilising spontaneous speech for unit selection. In: Proceedings of speech prosody

    Google Scholar 

  21. Nakanishi R, Inoue K, Nakamura S, Takanashi K, Kawahara T (2018) Generating fillers based on dialog act pairs for smooth turn-taking by humanoid robot. In: Proceedings of international workshop spoken dialogue systems (IWSDS)

    Google Scholar 

  22. Turker BB, Bucinca Z, Erzin E, Yemez Y, Sezgin M (2017) Analysis of engagement and user experience with a laughter responsive social robot. In: Proceedings of InterSpeech, pp 844–848

    Google Scholar 

  23. Skantze G, Hjalmarsson A, Oertel C (2014) Turn-taking, feedback and joint attention in situated human-robot interaction. Speech Commun 65:50–66

    Article  Google Scholar 

  24. Inoue K, Lala D, Takanashi K, Kawahara T (2018) Latent character model for engagement recognition based on multimodal behaviors. In: Proceedings of international workshop spoken dialogue systems (IWSDS)

    Google Scholar 

Download references

Acknowledgements

This work was supported by JST ERATO Ishiguro Symbiotic Human-Robot Interaction program (Grant Number JPMJER1401), Japan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tatsuya Kawahara .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kawahara, T. (2019). Spoken Dialogue System for a Human-like Conversational Robot ERICA. In: D'Haro, L., Banchs, R., Li, H. (eds) 9th International Workshop on Spoken Dialogue System Technology. Lecture Notes in Electrical Engineering, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-13-9443-0_6

Download citation

Publish with us

Policies and ethics