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About
Ai Akai’s research focuses on the intersection of human factors, ergonomics, and educational technology, particularly the use of telepresence robots to support students with long-term illnesses or school refusal. Her most cited work, a 2022 study, investigates the physical and visual demands placed on students when participating in real school classes via telepresence robots. By collecting head and neck angles, gaze direction, and viewing distance from six participants—including healthy middle schoolers and a hospitalized high school student—she identified that during lecture-style classes, students exhibited significantly deeper head flexion (‒20.4°) compared to break times (‒12.3°) or hands-on activities (‒4.7°). This finding highlights critical ergonomic risks, such as increased neck strain, that could affect long-term health and engagement. With 1 citation to date, this pioneering work lays the groundwork for designing more comfortable and effective telepresence systems in education. Akai’s contributions are vital for ensuring that remote learning technologies not only provide access but also safeguard student well-being, making her research a key reference for developers, educators, and ergonomists working to improve inclusive education.
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