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- W2022561489 abstract "When people work together, they converse about their current actions and intentions, building a shared context to inform their collaboration. Despite decades of research attempting to replicate this natural form of interaction in computers, the capabilities of conversational assistants are still extremely limited. In this paper, we investigate how human and machine intelligence can be combined to create assistants that work even in real-world situations. We introduce a crowd-powered conversational interface, called Chorus, that allows users to interact with a group of crowd workers as if they are a single conversional partner. We use Chorus as a personal assistant, and show that our incentive mechanism enables workers to hold consistent conversations and answer 84% of questions accurately. We then discuss a number of potential improvements that can be made by integrating artificial intelligence, and future systems that our work enables." @default.
- W2022561489 created "2016-06-24" @default.
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- W2022561489 date "2013-04-27" @default.
- W2022561489 modified "2023-09-25" @default.
- W2022561489 title "Real-time conversational crowd assistants" @default.
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- W2022561489 doi "https://doi.org/10.1145/2468356.2479500" @default.
- W2022561489 hasPublicationYear "2013" @default.
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