Akihiro Ogino

Chuo University, Kyoto Sangyo University

Papers

Total Citations

H-Index

About

Akihiro Ogino’s research centers on human-robot interaction and ubiquitous computing, with a particular focus on enhancing everyday experiences through intelligent systems. His pioneering work in consumer-friendly shopping assistance, detailed in his 2007 paper (6 citations), introduced a novel framework that leverages personal behavior log analysis to deliver personalized information via monitors, robots, and ambient sound—an early vision of context-aware retail. Ogino further advanced educational robotics, developing teaching assistant robots for C language beginners. His 2009 study (4 citations) demonstrated how robots can scaffold novice programmers, while his 2011 “Phynocation” prototype (2 citations) refined this concept into a practical classroom tool. Though his citation counts are modest, Ogino’s contributions are notable for bridging theoretical ubiquitous computing with tangible, user-centered applications. His work on behavior-log-driven services and educational robotics has laid groundwork for adaptive environments and robot-assisted learning, inspiring subsequent research in human-centric automation. Ogino’s interdisciplinary approach—merging robotics, education, and consumer science—highlights his commitment to making technology more intuitive and accessible for non-experts.