Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
Name
3656156.3665430.pdf
Size
5.8 MB
Format
Adobe PDF
Checksum (MD5)
cdf58a94e9f2314217f5c50ffa92cfc8
Author(s)
Lee, Cassandra
Mindel, Jessica
Date Issued
July 1, 2024
Publisher
ACM|Designing Interactive Systems Conference
Citation
Lee, Cassandra and Mindel, Jessica. 2024. "Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games."
Version
Final published version
Abstract
This demonstration presents Closer Worlds, a 2-player digital game designed to facilitate intimate conversation through the magic of collaborative world-building. Players take turns responding to context-aware introspective questions generated by AI (GPT-4) and collaboratively generate images (DALL-E 2) of a personalized world they can imagine sharing. In this iteration, we contribute a novel method for fostering personal storytelling within a play system by using a large language model (LLM) to create customized questions that are responsive to players’ intentions, memories, and values. We present reflections from early play tests and our design process, which suggest a role for generative AI that empowers emotion-rich human dialogue and encourages intimacy.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3656156.3665430
