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• Adaptive Time Windows for Real-Time Crowd Captioning

  Matthew J. Murphy, Christopher D. Miller, Walter S. Lasecki, Jeffrey P. Bigham · 2013 · CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

  This paper addresses a key barrier to real-time captioning access for deaf and hard of hearing people: the high cost of professional stenographers, who can charge up to $200 per hour. Building on the Legion:Scribe system, which demonstrated that groups of non-expert crowd…

  real-time captioning · crowdsourcing · deaf and hard of hearing · assistive technology · human computation

• Real-Time Captioning by Groups of Non-Experts

  Walter Lasecki, Christopher Miller, Adam Sadilek, Andrew Abumoussa, Donato Borrello, Raja Kushalnagar, Jeffrey Bigham · 2012 · UIST '12: Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology

  This paper presents Legion:Scribe, an end-to-end system that enables groups of non-expert typists to collectively produce real-time captions for deaf and hard of hearing (DHH) people, offering a cheaper and more available alternative to professional stenographers (CART, costing…

  real-time captioning · crowdsourcing · deaf and hard of hearing · human computation · text alignment

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