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• Legion Scribe: Real-Time Captioning by the Non-Experts

  Walter S. Lasecki, Christopher D. Miller, Raja Kushalnagar, Jeffrey P. Bigham · 2013 · Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility (W4A)

  This demo paper introduces Legion Scribe, a system that enables real-time captioning of speech by harnessing 3-5 ordinary typists working simultaneously, rather than relying on expensive professional stenographers. Real-time captioning provides text equivalents of spoken…

  captioning · deaf and hard of hearing · crowdsourcing · real-time captioning · communication accessibility

• Warping Time for More Effective Real-Time Crowdsourcing

  Walter S. Lasecki, Christopher D. Miller, Jeffrey P. Bigham · 2013 · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013)

  This paper introduces TimeWarp, a technique that manipulates audio playback speed to improve crowd workers performance on real-time speech captioning. The core problem is that non-expert typists cannot keep up with natural speaking rates of 150-225 words per minute, forcing them…

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

• Real-Time Captioning by Non-Experts with Legion Scribe

  Walter S. Lasecki, Christopher D. Miller, Raja Kushalnagar, Jeffrey P. Bigham · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2013)

  This short paper introduces Legion Scribe (Scribe), a system that enables 3-5 non-expert typists to collectively caption speech in real time, achieving accuracy approaching that of a professional stenographer at 20-30% of the cost. The system addresses a critical accessibility…

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

• Real-Time Crowd Labeling for Deployable Activity Recognition

  Walter S. Lasecki, Young Chol Song, Henry Kautz, Jeffrey P. Bigham · 2013 · Proceedings of the 2013 Conference on Computer Supported Cooperative Work (CSCW 2013)

  Legion:AR is a system that provides deployable activity recognition by combining real-time crowd labeling with automatic recognition using Hidden Markov Models (HMMs). The system addresses a critical limitation of current activity recognition: automated systems must be trained…

  activity recognition · crowdsourcing · human computation · machine learning · aging in place

• Answering Visual Questions with Conversational Crowd Assistants

  Walter S. Lasecki, Phyo Thiha, Yu Zhong, Erin Brady, Jeffrey P. Bigham · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2013)

  This paper introduces Chorus:View, a system that enables blind users to get visual questions answered through continuous conversational interaction with multiple crowd workers viewing a live video stream from the user's mobile device. The system addresses key limitations of…

  blind and low vision · crowdsourcing · human computation · assistive technology · visual assistance

• 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

• Chorus: A Crowd-Powered Conversational Assistant

  Walter S. Lasecki, Rachel Wesley, Jeffrey Nichols, Anand Kulkarni, James F. Allen, Jeffrey P. Bigham · 2013 · UIST '13: Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

  This paper presents Chorus, a crowd-powered conversational assistant that enables users to hold natural, continuous conversations with what appears to be a single partner, but is actually backed by multiple crowd workers operating in real-time. The system addresses a fundamental…

  crowdsourcing · conversational assistants · human computation · dialog systems · real-time systems

7 results.