Kosuke Fukumori

Papers

Total Citations

H-Index

About

Kosuke Fukumori’s research sits at the vital intersection of human-robot interaction, cognitive science, and gerontechnology, addressing pressing societal challenges posed by aging populations. His most-cited work, “Robotic Backchanneling in Online Conversation Facilitation: A Cross-Generational Study” (2023), explores how socially embodied AI agents can use subtle nonverbal cues—like nods and vocal affirmations—to facilitate smoother online conversations across different age groups. This contribution is especially significant in Japan, where rising rates of cognitive decline and a shortage of caregivers demand innovative, scalable solutions. By demonstrating that robotic backchanneling can enhance engagement and comprehension in cross-generational dialogue, Fukumori’s research lays groundwork for AI companions that support both social connection and cognitive health. His work has been cited in emerging discussions on assistive robotics and conversational AI, reflecting its relevance to real-world caregiving contexts. Fukumori’s interdisciplinary approach—bridging robotics, psychology, and human-computer interaction—positions him as a thoughtful contributor to designing intelligent agents that are not only functional but socially attuned, offering a glimpse into a future where robots actively help bridge generational and cognitive divides.