Chatterbox: Conversational Interfaces for Microtask Crowdsourcing

Panagiotis Mavridis, Owen Huang, Sihang Qiu, U.K. Gadiraju, Alessandro Bozzon

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

22 Citations (Scopus)
404 Downloads (Pure)

Abstract

Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work, and the perceived satisfaction of 316 workers recruited from the FigureEight platform. We show that conversational interfaces can be used effectively for crowdsourcing microtasks, resulting in a high satisfaction from workers, and without having a negative impact on task execution time or work quality.
Original languageEnglish
Title of host publicationUMAP'19
Subtitle of host publicationProceedings of the 27th Conference on User Modeling, Adaptation and Personalization
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Pages243-251
Number of pages9
ISBN (Print)978-1-4503-6021-0
DOIs
Publication statusPublished - 2019
EventUMAP 2019: 27th ACM Conference on User Modeling, Adaptation and Personalization - Larnaca, Cyprus
Duration: 9 Jun 201912 Jun 2019
Conference number: 27

Conference

ConferenceUMAP 2019
Country/TerritoryCyprus
CityLarnaca
Period9/06/1912/06/19

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Microtask Crowdsourcing
  • Chatbots
  • Conversational Agents

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