%0 Thesis %A PHAN, HAN DUY %D 2019 %T Feedback strategies for a sign language learning system %U https://bridges.monash.edu/articles/thesis/Feedback_strategies_for_a_sign_language_learning_system/8942417 %R 10.26180/5d2ed93661048 %K Visual Feedback %K Sign Language %K HCI %K Applied Computer Science %K Computer Graphics %K Computer Vision %K Computer Software %K Computer-Human Interaction %K Information Systems %X This PhD research developed and evaluated for the first time an interactive system (MIC) that assists parents learning sign language to begin to communicate with their hearing-impaired children. MIC is the first system in the world that can provide different types of visual feedback on performance of sign language learners in the absence of human teachers. Much work remains to be done, but we anticipate that as the technology and research in this area develops, it will one day become increasingly accessible for parents, including those living in remote places, to learn sign language. %I Monash University