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It Takes a Village: Integrating an Adaptive Chatbot into an Online Gaming Community

Published: 23 April 2020 Publication History

Abstract

While the majority of research in chatbot design has focused on creating chatbots that engage with users one-on-one, less work has focused on the design of conversational agents for online communities. In this paper we present results from a three week test of a social chatbot in an established online community. During this study, the chatbot "grew up" from "birth" through its teenage years, engaging with community members and "learning" vocabulary from their conversations. We discuss the design of this chatbot, how users' interactions with it evolved over the course of the study, and how it impacted the community as a whole. We discuss how we addressed challenges in developing a chatbot whose vocabulary could be shaped by users, and conclude with implications for the role of machine learning in social interactions in online communities and potential future directions for design of community-based chatbots.

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    cover image ACM Conferences
    CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
    April 2020
    10688 pages
    ISBN:9781450367080
    DOI:10.1145/3313831
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Published: 23 April 2020

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    Author Tags

    1. AI
    2. babybot
    3. chatbot
    4. community interaction
    5. interaction design
    6. long-term study
    7. machine learning
    8. twitch

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    • (2024)Investigating Influential Users' Responses to Permanent Suspension on Social MediaProceedings of the ACM on Human-Computer Interaction10.1145/36373568:CSCW1(1-41)Online publication date: 26-Apr-2024
    • (2024)Exploring the Role of Chatbots in Tackling COVID-19 Vaccine Hesitancy among Pregnant and Breastfeeding Women in Rural Northern IndiaProceedings of the ACM on Human-Computer Interaction10.1145/36373328:CSCW1(1-29)Online publication date: 26-Apr-2024
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