FictionalWorlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We address the integration of storytelling and Large Language Models (LLMs) to develop engaging and believable Social Chatbots (SCs) in community settings. Motivated by the potential of fictional characters to enhance social interactions, we introduce Storytelling Social Chatbots (SSCs) and the concept of story engineering to transform fictional game characters into "live" social entities within player communities. Our story engineering process includes three steps: (1) Character and story creation, defining the SC's personality and worldview, (2) Presenting Live Stories to the Community, allowing the SC to recount challenges and seek suggestions, and (3) Communication with community members, enabling interaction between the SC and users. We employed the LLM GPT-3 to drive our SSC prototypes, ''David" and ''Catherine," and evaluated their performance in an online gaming community, ''DE (Alias)," on Discord. Our mixed-method analysis, based on questionnaires (N=15) and interviews (N=8) with community members, reveals that storytelling significantly enhances the engagement and believability of SCs in community settings.
Description
@inproceedings{10.2312:imet.20231261,
booktitle = {International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET)},
editor = {Pelechano, Nuria and Liarokapis, Fotis and Rohmer, Damien and Asadipour, Ali},
title = {{FictionalWorlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs}},
author = {Sun, Yuqian and Wang, Hanyi and Chan, Pok Man and Tabibi, Morteza and Zhang, Yan and Lu, Huan and Chen, Yuheng and Lee, Chang Hee and Asadipour, Ali},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-233-2},
DOI = {10.2312/imet.20231261}
}