Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
26 results found tagged human computation.
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AudioWiz: Nearly Real-Time Audio Transcriptions
This student research paper presents AudioWiz, a mobile application that provides near-real-time transcriptions of both spoken words and environmental sounds for deaf and hard of hearing users. The author identifies a critical gap in existing automat…
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Online Quality Control for Real-Time Crowd Captioning
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 c…
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Real-Time Captioning by Groups of Non-Experts
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 …
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Using Real-time Feedback to Improve Visual Question Answering
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 t…
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Chorus: A Crowd-Powered Conversational Assistant
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 s…
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Adaptive Time Windows for Real-Time Crowd Captioning
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 grou…
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WearWrite: Crowd-Assisted Writing from Smartwatches
WearWrite is a system that enables users to write documents from their smartwatches by leveraging crowd workers to translate ideas into text. The system addresses the fundamental limitation that smartwatches have severely constrained input/output — t…
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Answering Visual Questions with Conversational Crowd Assistants
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 addr…
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Real-Time Crowd Labeling for Deployable Activity Recognition
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: automa…
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Real-Time Captioning by Non-Experts with Legion Scribe
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 address…