Jumpei Ono
Papers
2
Total Citations
7
H-Index
2
About
Jumpei Ono is a researcher at the intersection of artificial intelligence, narrative generation, and human-robot interaction, with a distinctive focus on love, sex, and cultural storytelling. His work explores how robots can understand and produce emotionally resonant narratives, particularly around themes of intimacy and human connection. Ono’s most cited paper, “Toward love and sex narrative generation using a noun conceptual dictionary” (2021, 4 citations), presents a system that generates stories about love and sex, with potential applications in nursing care and human-robot companionship. His second most cited work, “Prototyping narrative representation system using a Kabuki dance and legendary story for the narration function of robots” (2021, 3 citations), draws on traditional Japanese Kabuki and the Dōjōji legend to equip robots with culturally rich storytelling abilities. Though his citation counts are modest, Ono’s research is notable for its creative and interdisciplinary approach—bridging computational linguistics, folklore, and robotics. His work contributes to the emerging field of “love and sex with robots,” a topic discussed at international congresses, and offers a unique perspective on how robots might engage with human emotions and cultural heritage through narrative.
Research Focus
Key Achievements
Top Papers
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- 2