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ProtoChat: Supporting the Conversation Design Process with Crowd Feedback

Published: 17 October 2020 Publication History

Abstract

Conversation designers use iterative design to create, test, and improve conversation flows. While it is possible to iterate conversation design with existing chatbot prototyping tools, challenges remain such as recruiting participants and collecting structured feedback on specific conversational components, hindering rapid iterations, and making informed design decisions. To address these limitations, we introduce ProtoChat, a crowd-powered design tool built to support the iterative process of conversation design for a chatbot. ProtoChat enables rapid testing with the crowd and guiding the crowd workers to provide granular feedback on specific points of conversation.

Reference

[1]
Yoonseo Choi, Hyungyu Shin, Toni-Jan Keith Monserrat, Nyoungwoo Lee, Jeongeon Park, and Juho Kim. 2020. Supporting an Iterative Conversation Design Process. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1--8. https://doi.org/10.1145/3334480.3382951

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  • (2022)Intrance: Designing an Interactive Enhancement System for the Development of QA ChatbotsProceedings of the ACM on Human-Computer Interaction10.1145/35551996:CSCW2(1-24)Online publication date: 11-Nov-2022

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Published In

cover image ACM Conferences
CSCW '20 Companion: Companion Publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing
October 2020
559 pages
ISBN:9781450380591
DOI:10.1145/3406865
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: 17 October 2020

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Author Tags

  1. chatbot design
  2. conversation design
  3. conversational user interface
  4. crowdsourcing
  5. iterative design

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Funding Sources

  • Samsung Research, Samsung Electronics Co.,Ltd.

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CSCW '20
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Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

View all
  • (2022)Intrance: Designing an Interactive Enhancement System for the Development of QA ChatbotsProceedings of the ACM on Human-Computer Interaction10.1145/35551996:CSCW2(1-24)Online publication date: 11-Nov-2022

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