References
- Kawahara T. Spoken dialogue system for a human-like conversational robot ERICA. In: International Workshop on Spoken Dialog System Technology (IWSDS), Singapore; 2018.
- Inoue K, Lala D, Yamamoto K, et al. An attentive listening system with android ERICA: comparison of autonomous and WOZ interactions. In: Sigdial Meeting on Discourse and Dialogue (SIGDIAL); 2020. p. 118–127 [Online].
- Inoue K, Lala D, Yamamoto K, et al. Engagement-based adaptive behaviors for laboratory guide in human-robot dialogue. In: International Workshop on Spoken Dialog System Technology (IWSDS), Siracusa; 2019.
- Inoue K, Hara K, Lala D, et al. Job interviewer android with elaborate follow-up question generation. In: International Conference on Multimodal Interaction (ICMI); 2020. p. 324–332 [Online].
- Glas DF, Kanda T, Ishiguro H, et al. Simultaneous teleoperation of multiple social robots. In: International Conference on Human-Robot Interaction (HRI), Amsterdam; 2008. p. 311–318.
- Shiomi M, Sakamoto D, Kanda T, et al. A semi-autonomous communication robot –a field trial at a train station–. In: International Conference on Human-Robot Interaction (HRI), Amsterdam; 2008. p. 303–310.
- Kanda T, Shiomi M, Miyashita Z, et al. A communication robot in a shopping mall. IEEE Trans Robot. 2010;26(5):897–913.
- Lowe R, Noseworthy M, Serban IV, et al. Towards an automatic Turing test: Learning to evaluate dialogue responses. In: Annual Meeting of the Association for Computational Linguistics (ACL), Vancouver; 2017. p. 1116–1126.
- Higashinaka R, D'Haro LF, Shawar BA, et al. Overview of the dialogue breakdown detection challenge 4. In: International Workshop on Spoken Dialog System Technology (IWSDS), Siracusa; 2019.
- Tao C, Mou L, Zhao D, et al. RUBER: An unsupervised method for automatic evaluation of open-domain dialog systems. In: AAAI Conference on Artificial Intelligence (AAAI), New Orleans; 2018. p. 722–729.
- Zhao T, Lala D, Kawahara T. Designing precise and robust dialogue response evaluators. In: Annual Meeting of the Association for Computational Linguistics (ACL); 2020. p. 26–33 [Online].
- Devlin J, Chang MW, Lee K, et al. BERT: pre-training of deep bidirectional transformers for language understanding. In: North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Minneapolis; 2019. p. 4171–4186.
- Oertel C, Castellano G, Chetouani M, et al. Engagement in human-agent interaction: an overview. Front Robot AI. 2020;7:92.
- Inoue K, Lala D, Takanashi K, et al. Engagement recognition by a latent character model based on multimodal listener behaviors in spoken dialogue. APSIPA Trans Signal Inf Process. 2018;7:e9.