1. Bemelmans R, Gelderblom GJ, Jonker P, De Witte L (2012) Socially assistive robots in elderly care: a systematic review into effects and effectiveness. J Am Med Dir Assoc 13(2):114–120

   Article  Google Scholar 

2. Broekens J, Heerink M, Rosendal H et al (2009) Assistive social robots in elderly care: a review. Gerontechnology 8(2):94–103

   Article  Google Scholar 

3. Callejas Z, López-Cózar R (2009) Designing smart home interfaces for the elderly. SIGACCESS Access Comput 95:10–16

   Article  Google Scholar 

4. Feil-Seifer D, Mataric MJ (2005) Defining socially assistive robotics. In: 9th international conference on rehabilitation robotics, 2005 (ICORR 2005). IEEE, pp 465–468

   Google Scholar 

5. Georgila K, Wolters M, Moore JD, Logie RH (2010) The match corpus: a corpus of older and younger users’ interactions with spoken dialogue systems. Lang Resour Eval 44(3):221–261

   Google Scholar 

6. Grosz BJ, Sidner CL (1986) Attention, intentions, and the structure of discourse. Comput Linguist 12(3):175–204

   Google Scholar 

7. Group HW, et al (2015) The Japanese TTS system. Open JTalk

   Google Scholar 

8. Jokinen K (2018) Dialogue models for socially intelligent robots. In: International conference on social robotics. Springer, pp 127–138

   Google Scholar 

9. Lee A, Kawahara T, Shikano K (2001) Julius—an open source real-time large vocabulary recognition engine. In: 7th European conference on speech communication and technology

   Google Scholar 

10. Lubis N, Sakti S, Yoshino K, Nakamura S (2018) Eliciting positive emotion through affect-sensitive dialogue response generation: a neural network approach. In: AAAI

    Google Scholar 

11. Lubis N, Sakti S, Yoshino K, Nakamura S (2019) Eliciting positive emotional impact in dialogue response selection. Advanced social interaction with agents. Springer, Berlin, pp 135–148

    Google Scholar 

12. Miehle J, Bagci I, Minker W, Ultes S (2019) A social companion and conversational partner for the elderly. Advanced social interaction with agents. Springer, Berlin, pp 103–109

    Google Scholar 

13. Milhorat P, Lala D, Inoue K, Zhao T, Ishida M, Takanashi K, Nakamura S, Kawahara T (2019) A conversational dialogue manager for the humanoid robot erica. Advanced social interaction with agents. Springer, Berlin, pp 119–131

    Google Scholar 

14. Sonobe R, Takamichi S, Saruwatari H (2017) Jsut corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis. arXiv preprintarXiv:1711.00354

15. Tanaka H, Adachi H, Ukita N, Ikeda M, Kazui H, Kudo T, Nakamura S (2017) Detecting dementia through interactive computer avatars. IEEE J Transl Eng Health Med 5:1–11

    Article  Google Scholar 

16. Ujiro T, Tanaka H, Adachi H, Kazui H, Ikeda M, Kudo T, Nakamura S (2018) Detection of dementia from responses to atypical questions asked by embodied conversational agents. Proc Interspeech 2018:1691–1695

    Article  Google Scholar 

17. Wolters M, Georgila K, Moore JD, MacPherson SE (2009) Being old doesn’t mean acting old: how older users interact with spoken dialog systems. ACM Trans Access Comput 2(1), 2:1–2:39

    Google Scholar 

18. Yoshino K, Kawahara T (2014) Information navigation system based on POMDP that tracks user focus. In: Proceedings of the 15th annual meeting of the special interest group on discourse and dialogue (SIGDIAL), pp 32–40

    Google Scholar 

19. Yoshino K, Kawahara T (2015) Conversational system for information navigation based on POMDP with user focus tracking. Comput Speech Lang 34(1):275–291

    Article  Google Scholar 

20. Yoshino K, Tanaka H, Sugiyama K, Kondo M, Nakamura S (2018) Japanese dialogue corpus of information navigation and attentive listening annotated with extended iso-24617-2 dialogue act tags. In: LREC

    Google Scholar 

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