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"Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent.

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The effects of automatic speech recognition quality on human transcription latency., , , and . W4A, page 23:1-23:8. ACM, (2016)Using Vocabularies to Collaboratively Create Better Plans for Writing Tasks., , , , , and . CHI Extended Abstracts, ACM, (2018)Arboretum and Arbility: Improving Web Accessibility Through a Shared Browsing Architecture., , , , and . UIST, page 937-949. ACM, (2018)Legion scribe: real-time captioning by non-experts., , and . ASSETS, page 303-304. ACM, (2014)Glance: rapidly coding behavioral video with the crowd., , , , , and . UIST, page 551-562. ACM, (2014)Two Tools are Better Than One: Tool Diversity as a Means of Improving Aggregate Crowd Performance., , , , , and . IUI, page 559-570. ACM, (2018)Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video., , , , , and . HCOMP, AAAI, (2014)CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering., , , , , , and . HCOMP, page 89-97. AAAI Press, (2017)Crowd-based recognition of web interaction patterns., , , and . UIST (Adjunct Volume), page 99-100. ACM, (2012)Captions versus transcripts for online video content., , and . W4A, page 32:1-32:4. ACM, (2013)