Lottery and Sprint: Generate a Board Game with Design Sprint Method on Auto-GPT

Autor:	Torii, Maya Grace, Murakami, Takahito, Ochiai, Yoichi
Rok vydání:	2023
Předmět:	FOS: Computer and information sciences Computer Science - Human-Computer Interaction Human-Computer Interaction (cs.HC)
DOI:	10.48550/arxiv.2307.00348
Popis:	In this paper, we present a novel approach using the Auto GPT system alongside Design Sprint methodology to facilitate board game creation for inexperienced users. We introduce the implementation of Auto GPT for generating diverse board games and the subsequent optimization process through a customized Design Sprint. A user study is conducted to investigate the playability and enjoyment of the generated games, revealing both successes and challenges in employing systems like Auto GPT for board game design. Insights and future research directions are proposed to overcome identified limitations and enhance computational-driven game creation. Comment: 9 pages, 5 figures, pre-print
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa83907e9dc6227b0adb0c209677e4a0 Zobrazit plný text záznamu