Kenta Yamamoto


Simultaneous Job Interview System Using Multiple Semi-autonomous Agents
Haruki Kawai | Yusuke Muraki | Kenta Yamamoto | Divesh Lala | Koji Inoue | Tatsuya Kawahara
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue

In recent years, spoken dialogue systems have been applied to job interviews where an applicant talks to a system that asks pre-defined questions, called on-demand and self-paced job interviews. We propose a simultaneous job interview system, where one interviewer can conduct one-on-one interviews with multiple applicants simultaneously by cooperating with the multiple autonomous job interview dialogue systems. However, it is challenging for interviewers to monitor and understand all the parallel interviews done by the autonomous system at the same time. As a solution to this issue, we implemented two automatic dialogue understanding functions: (1) response evaluation of each applicant’s responses and (2) keyword extraction as a summary of the responses. It is expected that interviewers, as needed, can intervene in one dialogue and smoothly ask a proper question that elaborates the interview. We report a pilot experiment where an interviewer conducted simultaneous job interviews with three candidates.


A multi-party attentive listening robot which stimulates involvement from side participants
Koji Inoue | Hiromi Sakamoto | Kenta Yamamoto | Divesh Lala | Tatsuya Kawahara
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue

We demonstrate the moderating abilities of a multi-party attentive listening robot system when multiple people are speaking in turns. Our conventional one-on-one attentive listening system generates listener responses such as backchannels, repeats, elaborating questions, and assessments. In this paper, additional robot responses that stimulate a listening user (side participant) to become more involved in the dialogue are proposed. The additional responses elicit assessments and questions from the side participant, making the dialogue more empathetic and lively.


An Attentive Listening System with Android ERICA: Comparison of Autonomous and WOZ Interactions
Koji Inoue | Divesh Lala | Kenta Yamamoto | Shizuka Nakamura | Katsuya Takanashi | Tatsuya Kawahara
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue

We describe an attentive listening system for the autonomous android robot ERICA. The proposed system generates several types of listener responses: backchannels, repeats, elaborating questions, assessments, generic sentimental responses, and generic responses. In this paper, we report a subjective experiment with 20 elderly people. First, we evaluated each system utterance excluding backchannels and generic responses, in an offline manner. It was found that most of the system utterances were linguistically appropriate, and they elicited positive reactions from the subjects. Furthermore, 58.2% of the responses were acknowledged as being appropriate listener responses. We also compared the proposed system with a WOZ system where a human operator was operating the robot. From the subjective evaluation, the proposed system achieved comparable scores in basic skills of attentive listening such as encouragement to talk, focused on the talk, and actively listening. It was also found that there is still a gap between the system and the WOZ for more sophisticated skills such as dialogue understanding, showing interest, and empathy towards the user.