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A Job Interview Dialogue System with Autonomous Android ERICA

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Increasing Naturalness and Flexibility in Spoken Dialogue Interaction

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 714))

Abstract

We demonstrate a job interview dialogue with the autonomous android ERICA which plays the role of an interviewer. Conventional job interview dialogue systems ask only pre-defined questions. The job interview system of ERICA generates follow-up questions based on the interviewee’s response on the fly. The follow-up questions consist of two kinds of approaches: selection-based and keyword-based. The first type question is based on selection from a pre-defined question set, which can be used in many cases. The second type of question is based on a keyword extracted from the interviewee’s response, which digs into the interviewee’s response dynamically. These follow-up questions contribute to realizing natural and trained dialogue.

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Notes

  1. 1.

    http://mattmahoney.net/dc/textdata.html.

  2. 2.

    https://radimrehurek.com/gensim/models/tfidfmodel.html.

  3. 3.

    Demo video is available at  https://youtu.be/JpTlSVp2zx8.

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Acknowledgements

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

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Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Kyoto, Japan

    Koji Inoue, Kohei Hara, Divesh Lala, Shizuka Nakamura, Katsuya Takanashi & Tatsuya Kawahara

Authors
  1. Koji Inoue
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  2. Kohei Hara
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  3. Divesh Lala
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  4. Shizuka Nakamura
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  5. Katsuya Takanashi
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  6. Tatsuya Kawahara
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Corresponding author

Correspondence to Koji Inoue .

Editor information

Editors and Affiliations

  1. Apple, Cupertino, CA, USA

    Erik Marchi

  2. Kore University of Enna, Enna, Italy

    Sabato Marco Siniscalchi

  3. Polytechnic University of Turin, Torino, Italy

    Sandro Cumani

  4. Kore University of Enna, Enna, Italy

    Valerio Mario Salerno

  5. National University of Singapore, Singapore, Singapore

    Haizhou Li

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Inoue, K., Hara, K., Lala, D., Nakamura, S., Takanashi, K., Kawahara, T. (2021). A Job Interview Dialogue System with Autonomous Android ERICA. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-15-9323-9_25

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  • DOI: https://doi.org/10.1007/978-981-15-9323-9_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9322-2

  • Online ISBN: 978-981-15-9323-9

  • eBook Packages: EngineeringEngineering (R0)

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