Cited by 49Data Visualization and AnalyticsExpert finding and Q&A systemsKnowledge Management and Sharing

SolutionChat: Real-time Moderator Support for Chat-based Structured Discussion

Lee, Sung-Chul, Song, Jaeyoon, Ko, Eun-Young, Park, Seongho, Kim, Jihee, Kim, Juho·2020·Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract

Online chat is an emerging channel for discussing community problems. It is common practice for communities to assign dedicated moderators to maintain a structured discussion and enhance the problem-solving experience. However, due to the synchronous nature of online chat, moderators face a high managerial overhead in tasks like discussion stage management, opinion summarization, and consensus-building support. To assist moderators with facilitating a structured discussion for community problem-solving, we introduce SolutionChat, a system that (1) visualizes discussion stages and featured opinions and (2) recommends contextually appropriate moderator messages. Results from a controlled lab study (n=55, 12 groups) suggest that participants' perceived discussion trackability was significantly higher with SolutionChat than without. Also, moderators provided better summarization with less effort and better managerial support using system-generated messages with SolutionChat than without. With SolutionChat, we envision untrained moderators to effectively facilitate chat-based discussions of important community matters.

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Crossref · 10.1145/3313831.3376609

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Prior CHI studies have investigated potential scenarios of interacting with multi-party based chatbots as well as diverse roles of chatbots and their positive impact on familiarization among teammates, generating more ideas and diverse views, and nudging silent people to speak up.

    “prior CHI studies [43, 50, 77, 79, 93] have investigated potential scenarios of interacting with multi-party based chatbots [77] as well as diverse roles of chatbots and their positive impact on familiarization among teammates [79], generating more ideas and diverse views [43, 50, 79], and nudging silent people to speak up [43].”

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Authors
Lee, S.-C., Song, J., Ko, E.-Y., Park, S., Kim, J., & Kim, J.
Affiliations
  • Korea Advanced Institute of Science and Technology (KR)
  • Seoul National University (KR)
Venue
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2020-04-21
Pages
1-12
OpenAlex
W3029844454
Cited by
49
References
2
Citations by year
2026: 9 · 2025: 5 · 2024: 6 · 2023: 11 · 2022: 7 · 2021: 9 · 2020: 2
FWCI
2.24
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Funders
  • Institute of Information & Communications Technology Planning + MSIT (2016-0-00564)
  • Office of Naval Research (N00014-18-1-2834)
  • National Research Foundation of Korea (NRF-2017M3C4A7065960)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
  • Social Sciences › Communication › Knowledge Management and Sharing
Keywords
online chat, discussion moderation, structured discussion, community problem solving, opinion summarization, consensus building

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