In the last decade, a variety of Human Machine Interfaces (HMI) have been designed for robot assisted colonoscopy, including different input devices, assistive tools and feedback. However, few studies aiming at assessing the best features of the HMI have been performed so far, leading to a lack of knowledge about the optimal HMI able to minimize the cognitive and physical load of the operators and maximize their performace. Herein, we present the results of a survey administered to more than 70 endoscopists across different European countries, to get insights about the clinicians’ desires on the next generation HMI for robot assisted colonoscopy.This work was supported by the ATLAS project, which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 813782.Peer ReviewedPreprin