Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation

Matthew Guzdial

IJCAI 2024poster1 citations

Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation

Abstract

Generative AI has recently gained popularity as a paradigm for content generation. In this paper, we link this paradigm to an older one: Procedural Content Generation (PCG). We propose a lens to identify the commonalities between both paradigms that we call human-AI interactive generation. Using this lens, we identify three beneficial attributes then survey recent related work and summarize relevant findings.

Humans and AI: HAI: Human-computer interactionMachine Learning: ML: Generative modelsMultidisciplinary Topics and Applications: MTA: Computer gamesHumans and AI: HAI: Intelligent user interfaces

BibTeX

@inproceedings{ijcai2024p977,
  title     = {Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation},
  author    = {Guzdial, Matthew},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-24}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Kate Larson},
  pages     = {8529--8534},
  year      = {2024},
  month     = {8},
  note      = {Early Career},
  doi       = {10.24963/ijcai.2024/977},
  url       = {https://doi.org/10.24963/ijcai.2024/977},
}