no code implementations • SIGDIAL (ACL) 2020 • Koji Inoue, Divesh Lala, Kenta Yamamoto, Shizuka Nakamura, Katsuya Takanashi, Tatsuya Kawahara
The proposed system generates several types of listener responses: backchannels, repeats, elaborating questions, assessments, generic sentimental responses, and generic responses.
no code implementations • SIGDIAL (ACL) 2022 • Haruki Kawai, Yusuke Muraki, Kenta Yamamoto, Divesh Lala, Koji Inoue, Tatsuya Kawahara
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.
no code implementations • SIGDIAL (ACL) 2021 • Koji Inoue, Hiromi Sakamoto, Kenta Yamamoto, Divesh Lala, Tatsuya Kawahara
We demonstrate the moderating abilities of a multi-party attentive listening robot system when multiple people are speaking in turns.
no code implementations • 11 Mar 2024 • Koji Inoue, Bing'er Jiang, Erik Ekstedt, Tatsuya Kawahara, Gabriel Skantze
The results show that a monolingual VAP model trained on one language does not make good predictions when applied to other languages.
no code implementations • 21 Feb 2024 • Haruki Kawai, Divesh Lala, Koji Inoue, Keiko Ochi, Tatsuya Kawahara
To this end, we propose a semi-autonomous system, where a remote operator can take control of an autonomous attentive listening system in real-time.
no code implementations • 20 Feb 2024 • Zi Haur Pang, Yahui Fu, Divesh Lala, Keiko Ochi, Koji Inoue, Tatsuya Kawahara
This study introduces the first framework designed to engender empathetic dialogue with validating responses.
no code implementations • 10 Jan 2024 • Koji Inoue, Divesh Lala, Keiko Ochi, Tatsuya Kawahara, Gabriel Skantze
To address this issue, we propose a framework for indirectly but objectively evaluating systems based on users' behaviors.
1 code implementation • 10 Jan 2024 • Koji Inoue, Bing'er Jiang, Erik Ekstedt, Tatsuya Kawahara, Gabriel Skantze
A demonstration of a real-time and continuous turn-taking prediction system is presented.
no code implementations • 21 Aug 2023 • Koji Inoue, Divesh Lala, Keiko Ochi, Tatsuya Kawahara, Gabriel Skantze
This paper tackles the challenging task of evaluating socially situated conversational robots and presents a novel objective evaluation approach that relies on multimodal user behaviors.
no code implementations • 28 Jul 2023 • Yahui Fu, Koji Inoue, Chenhui Chu, Tatsuya Kawahara
We enhance ChatGPT's ability to reason for the system's perspective by integrating in-context learning with commonsense knowledge.
no code implementations • 2 May 2021 • Tatsuya Kawahara, Koji Inoue, Divesh Lala
It has also been evaluated with student subjects, showing promising results.
no code implementations • WS 2017 • Divesh Lala, Pierrick Milhorat, Koji Inoue, Masanari Ishida, Katsuya Takanashi, Tatsuya Kawahara
Second, we propose an effective statement response mechanism which detects focus words and responds in the form of a question or partial repeat.