Dejan Arisc

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About

Dejan Arsic is a researcher whose work bridges the critical intersection of human-computer interaction and surgical robotics, with a particular focus on speech-controlled systems in high-stakes medical environments. His key research areas include speech recognition in noisy settings, human-robot interaction, and assistive technologies for surgery. Arsic’s most notable contribution is his pioneering work on a robot-driven camera controlled by speech, introduced in his 2009 study. By analyzing the SIMIS database—a collection of 20 recordings from real surgical operations—he modeled the acoustic challenges of the operating room, where background noise from equipment and conversations severely degrades speech recognition accuracy. To overcome this, Arsic strategically designed a limited vocabulary tailored to surgical commands, demonstrating a practical path toward hands-free control in surgery. Although his work has garnered 4 citations, its impact lies in laying foundational principles for noise-robust speech interfaces in medicine. His research has been instrumental in advancing the feasibility of voice-activated surgical assistants, offering a safer, more efficient alternative to manual camera control. Arsic’s achievements underscore his role in shaping future innovations in surgical robotics and human-machine collaboration.