Genki A. Kadomatsu
Papers
1
Total Citations
3
H-Index
1
About
Genki A. Kadomatsu is a researcher at the forefront of situated dialogue systems and human-agent interaction, with a focus on how artificial agents can resolve ambiguity in real-world, multimodal environments. His key research areas include computational pragmatics, reference resolution, and decision-theoretic question generation. Kadomatsu’s major contribution lies in developing a formal, decision-theoretic framework that enables dialogue agents to determine when and how to ask clarifying questions when faced with referential ambiguity across visual and linguistic modalities. His most-cited work, a 2021 empirical study and computational model, demonstrates how agents can strategically generate questions to efficiently resolve uncertainty, improving collaborative task performance. This paper has garnered 3 citations, reflecting its foundational role in a niche but growing field. Kadomatsu’s research bridges cognitive science and artificial intelligence, offering practical insights for designing more adaptive and communicative robots and virtual assistants. His work is particularly notable for grounding abstract decision theory in concrete, situated experiments, making it highly relevant for students and researchers interested in building agents that can seamlessly interact with humans in dynamic, ambiguous settings.
Research Focus
Key Achievements
Top Papers
- 1