Kaj Gijsbertse

Netherlands Organisation for Applied Scientific Research

Papers

Total Citations

H-Index

About

Kaj Gijsbertse’s research lies at the intersection of human-robot interaction, embodiment, and teleoperation, with a focus on how sensory feedback and augmented reality (AR) can enhance operator performance and reduce cognitive workload. His major contributions include developing the cross-modal congruency effect as an objective measure of embodiment, providing a quantitative tool to assess how operators experience control over remote robots. In his work on the supernumerary hand illusion in AR, Gijsbertse explored how extra virtual limbs are perceived during teleoperation, advancing understanding of embodiment in complex, multi-limb scenarios. He also compared haptic and auditory feedback as warning signals for slip events in teleoperation, demonstrating that simple, abstract feedback can improve object manipulation tasks. While his citation counts (5, 2, and 2 for his top papers) reflect an emerging career, his work is foundational for designing more intuitive and effective teleoperation systems. Gijsbertse’s research is particularly notable for its practical applications in dangerous or inaccessible environments, aiming to make remote control more natural and less cognitively demanding for operators.