@inproceedings{544cc1f157aa4845b8f6c6d987b27bbf,
title = "Evaluation of a recommender system for assisting novice game designers",
abstract = "Game development is a complex task involving multiple disciplines and technologies. Developers and researchers alike have suggested that AI-driven game design assistants may improve developer workflow. We present a recommender system for assisting humans in game design as well as a rigorous human subjects study to validate it. The AI-driven game design assistance system suggests game mechanics to designers based on characteristics of the game being developed. We believe this method can bring creative insights and increase user's productivity. We conducted quantitative studies that showed the recommender system increases users' levels of accuracy and computational affect, and decreases their levels of workload.",
author = "Tiago Machado and Daniel Gopstein and Angela Wang and Oded Nov and Andrew Nealen and Julian Togelius",
note = "Publisher Copyright: Copyright {\textcopyright} 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2019 ; Conference date: 08-10-2019 Through 12-10-2019",
year = "2019",
language = "English (US)",
series = "Proceedings of the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2019",
publisher = "AAAI press",
pages = "167--173",
booktitle = "Proceedings of the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2019",
}