Guardian: A Crowd-Powered Spoken Dialog System for Web APIs

Ting Hao Huang, Walter S. Lasecki, Jeffrey P. Bigham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

Natural language dialog is an important and intuitive way for people to access information and services. However, current dialog systems are limited in scope, brittle to the richness of natural language, and expensive to produce. This paper introduces Guardian, a crowd-powered framework that wraps existing Web APIs into immediately usable spoken dialog systems. Guardian takes as input the Web API and desired task, and the crowd determines the parameters necessary to complete it, how to ask for them, and interprets the responses from the API. The system is structured so that, over time, it can learn to take over for the crowd. This hybrid systems approach will help make dialog systems both more general and more robust going forward.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015
EditorsElizabeth Gerber, Panos Ipeirotis
PublisherAAAI press
Pages62-71
Number of pages10
ISBN (Electronic)9781577357407
DOIs
StatePublished - Nov 12 2015
Event3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015 - San Diego, United States
Duration: Nov 8 2015Nov 11 2015

Publication series

NameProceedings of the 3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015

Conference

Conference3rd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015
Country/TerritoryUnited States
CitySan Diego
Period11/8/1511/11/15

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Human-Computer Interaction

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