A Speculative and Tentative Common Ground Handling for Efficient Composition of Uncertain Dialogue

no code implementations • LREC 2022 • Saki Sudo, Kyoshiro Asano, Koh Mitsuda, Ryuichiro Higashinaka, Yugo Takeuchi

This study investigates how the grounding process is composed and explores new interaction approaches that adapt to human cognitive processes that have not yet been significantly studied.

Cognitive Architecture Toward Common Ground Sharing Among Humans and Generative AIs: Trial on Model-Model Interactions in Tangram Naming Task

no code implementations • 10 Nov 2023 • Junya Morita, Tatsuya Yui, Takeru Amaya, Ryuichiro Higashinaka, Yugo Takeuchi

For generative AIs to be trustworthy, establishing transparent common grounding with humans is essential.