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CatAR: A Novel Stereoscopic Augmented Reality Cataract Surgery Training System with Dexterous Instruments Tracking Technology Yu-Hsuan Huang, Hao-Yu Chang, Wan-ling Yang, Yu-Kai Chiu, Tzu-Chieh Yu, Pei-Hsuan Tsai, Ming Ouhyoung CHI '18: ACM CHI Conference on Human Factors in Computing Systems Session: Assistive Medicine Abstract We propose CatAR, a novel stereoscopic augmented reality (AR) cataract surgery training system. It provides dexterous instrument tracking ability using a specially designed infrared optical system with 2 cameras and 1 reflective marker. The tracking accuracy on the instrument tip is 20 µm, much higher than previous simulators. Moreover, our system allows trainees to use and to see real surgical instruments while practicing. Five training modules with 31 parameters were designed and 28 participants were enrolled to conduct efficacy and validity tests. The results revealed significant differences between novice and experienced surgeons. Improvements in surgical skills after practicing with CatAR were also significant. DOI:: https://doi.org/10.1145/3173574.3174039 WEB:: https://chi2018.acm.org/ Recorded at the ACM CHI Conference on Human Factors in Computing Systems in Montréal, Canada April 21-26, 2018