Reviews

Search results

• Using Real-time Feedback to Improve Visual Question Answering

  Yu Zhong, Phyo Thiha, Grant He, Walter Lasecki, Jeffrey Bigham · 2012 · CHI EA '12: CHI '12 Extended Abstracts on Human Factors in Computing Systems

  This work-in-progress paper introduces Legion:View, a system that extends the VizWiz model of crowd-powered visual question answering by adding a real-time feedback loop between blind users and crowd workers. The original VizWiz allowed blind users to take a still photograph,…

  visual question answering · crowdsourcing · blind users · real-time systems · assistive technology

• 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

• Online Quality Control for Real-Time Crowd Captioning

  Walter S. Lasecki, Jeffrey P. Bigham · 2012 · Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2012)

  This paper addresses quality control in Legion:Scribe, a system that provides real-time captioning by having multiple non-expert crowd workers simultaneously type what they hear, then automatically merging their partial transcriptions into a single caption stream. Real-time…

  real-time captioning · crowdsourcing · deaf and hard of hearing · automatic speech recognition · human computation

3 results.