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Meta-control of Dialogue Systems Using Large Language Models
Kotaro Shukuri, Ryoma Ishigaki, Jundai Suzuki +5
Utilizing Large Language Models (LLMs) facilitates the creation of flexible and natural dialogues, a task that has been challenging with traditional rule-based dialogue systems. Ho…
Spoken Dialogue Strategy Focusing on Asymmetric Communication with Android Robots
Daisuke Kawakubo, Hitoshi Ishii, Riku Okazawa +5
Humans are easily conscious of small differences in an android robot's (AR's) behaviors and utterances, resulting in treating the AR as not-human, while ARs treat us as humans. Thu…
Improving User's Sense of Participation in Robot-Driven Dialogue
Makoto Kawamoto, Masaki Shuzo, Eisaku Maeda
In task-oriented dialogues with symbiotic robots, the robot usually takes the initiative in dialogue progression and topic selection. In such robot-driven dialogue, the user's sens…