Kaito Moriki
Papers
1
Total Citations
2
H-Index
1
About
Kaito Moriki is a researcher in spoken dialogue systems and human–computer interaction, with a focus on how conversational agents can produce more natural, engaging, and empathetic responses. His key research areas include the design of chat-oriented dialogue systems, the role of repetitive utterances in conversation, and the impact of utterance complexity on user engagement. Moriki’s most cited work, “The Effect of the Repetitive Utterances Complexity on User’s Desire to Continue Dialogue by a Chat-oriented Spoken Dialogue System” (2022), examines how repetition—a common human conversational behavior—can serve an empathic function beyond simple information confirmation. By systematically varying the complexity of these repetitive utterances, his study provides insights into how dialogue systems can better sustain user interest and foster continued interaction. Although early in his career, with this paper already garnering 2 citations, Moriki’s work contributes to a growing body of research aimed at making spoken dialogue systems more socially intelligent. His findings have implications for the development of chatbots and virtual assistants that can engage users in more natural, prolonged, and satisfying conversations, bridging the gap between mechanical response and human-like rapport.
Research Focus
Key Achievements
Top Papers
- 1