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
Repository Citation
Li, Xian; Han, Yuanning; Liu, Di; An, Pengcheng; and Niu, Shuo, "FlowGPT: Exploring Domains, Output Modalities, and Goals of Community-Generated AI Chatbots" (2024). Computer Science. 238.
https://commons.clarku.edu/faculty_computer_sciences/238
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
This work is licensed under a Creative Commons Attribution 4.0 International License.