Tomomi Shibano

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About

Tomomi Shibano is a researcher focused on the intersection of robotics, healthcare, and human-computer interaction, with a particular emphasis on care prevention for the elderly. Her work addresses Japan’s rapidly aging population by developing robotic systems that promote independent living and well-being. Shibano’s major contributions include the design of interaction monitoring robots that provide daily support, such as encouraging regular exercise and preventing falls, which are critical for reducing the need for long-term care. She also pioneered information recommendation systems using communication robots to deliver tailored health advice, easing the information burden on elderly users. Additionally, her research on human motion recognition enables systems to detect user intentions through data mining, allowing for proactive service delivery. Although her citation counts are modest—with her most cited paper, “Daily support system for care prevention by using interaction monitoring robot” (2010), garnering 10 citations—her work is notable for its practical, real-world applications in assistive technology. Shibano’s innovative approach combines robotics with data-driven insights, offering scalable solutions for elderly care that have the potential to significantly impact quality of life in aging societies.