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Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast

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Published:27 February 2023Publication History

ABSTRACT

Evaluating large-scale customer-facing voice interfaces involves a variety of challenges, such as data privacy, fairness or unintended bias, and the cost of human labor. Comcast's Xfinity Voice Remote is one such voice interface aimed at users looking to discover content on their TVs. The artificial intelligence (AI) behind the voice remote currently powers multiple voice interfaces, serving tens of millions of requests every day, from users across the globe.In this talk, we introduce a novel Round-Trip system we have built to evaluate the AI serving these voice interfaces in a semi-automated manner, providing a robust and cheap alternative to traditional quality assurance methods. We discuss five specific challenges we have encountered in Round-Trip and describe our solutions in detail.

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    • Published in

      cover image ACM Conferences
      WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
      February 2023
      1345 pages
      ISBN:9781450394079
      DOI:10.1145/3539597

      Copyright © 2023 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 February 2023

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