Can you see what i hear?: the design and evaluation of a peripheral sound display for the deaf
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TurKit: human computation algorithms on mechanical turk
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
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Existing automated transcription solutions filter out environmental noises and focus only on transcribing the spoken word. This leaves deaf and hard of hearing users with no way of learning about events that provide no spoken information such as the sounds produced by a faulty appliance or the barked alert of a dutiful guard dog. In this paper we present AudioWiz, a mobile application that provides highly detailed audio transcriptions of both the spoken word and the accompanying environmental sounds. This approach is made possible by harnessing humans to provide audio transcriptions instead of more traditional automated means. Web-workers are recruited automatically in nearly real-time as dictated by demand.