Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT

TL;DR

This paper combines Auto GPT and Design Sprint methods to enable inexperienced users to generate and optimize board games, evaluating their playability and enjoyment through a user study.

Contribution

It introduces a novel integration of Auto GPT with Design Sprint for automated board game creation and optimization, addressing usability for novices.

Findings

Generated games show promising playability and enjoyment.

Auto GPT can produce diverse board game concepts.

Challenges remain in optimizing game quality.

Abstract

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.