Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games

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-...

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Main Authors: Lee, Cassandra, Mindel, Jessica
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: ACM|Designing Interactive Systems Conference 2024
Online Access:https://hdl.handle.net/1721.1/155931
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author Lee, Cassandra
Mindel, Jessica
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Lee, Cassandra
Mindel, Jessica
author_sort Lee, Cassandra
collection MIT
description 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.
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spelling mit-1721.1/1559312024-09-20T04:34:30Z Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games Lee, Cassandra Mindel, Jessica Massachusetts Institute of Technology. Media Laboratory 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. 2024-08-05T16:38:36Z 2024-08-05T16:38:36Z 2024-07-01 2024-08-01T07:49:00Z Article http://purl.org/eprint/type/JournalArticle 979-8-4007-0632-5 https://hdl.handle.net/1721.1/155931 Lee, Cassandra and Mindel, Jessica. 2024. "Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games." PUBLISHER_CC en 10.1145/3656156.3665430 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|Designing Interactive Systems Conference Association for Computing Machinery
spellingShingle Lee, Cassandra
Mindel, Jessica
Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
title Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
title_full Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
title_fullStr Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
title_full_unstemmed Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
title_short Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games
title_sort closer and closer worlds using llms to surface personal stories in world building conversation games
url https://hdl.handle.net/1721.1/155931
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