Computer Science

Document Type

Conference Paper

Abstract

The advent of Generative AI and Large Language Models has not only enhanced the intelligence of interactive applications but also catalyzed the formation of communities passionate about customizing these AI capabilities. FlowGPT, an emerging platform for sharing AI prompts and use cases, exemplifies this trend, attracting many creators who develop and share chatbots with a broader community. Despite its growing popularity, there remains a significant gap in understanding the types and purposes of the AI tools created and shared by community members. In this study, we delve into FlowGPT and present our preliminary findings on the domain, output modality, and goals of chatbots. We aim to highlight common types of AI applications and identify future directions for research in AI-sharing communities.

Publication Title

Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Publication Date

11-13-2024

First Page

355

Last Page

361

ISBN

9798400711145

DOI

10.1145/3678884.3681875

Keywords

ai, chatbot, flowgpt, gen-ai, generative ai, prompt

APA Citation

Li, X., Han, Y., Liu, D., An, P., & Niu, S. (2024, November). FlowGPT: Exploring Domains, Output Modalities, and Goals of Community-Generated AI Chatbots. In Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing (pp. 355-361).

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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