학술논문
AI-Assisted Game Debugging with Cicero
Document Type
Conference
Source
2018 IEEE Congress on Evolutionary Computation (CEC) Evolutionary Computation (CEC), 2018 IEEE Congress on. :1-8 Jul, 2018
Subject
Language
Abstract
We present Cicero, a mixed-initiative application for prototyping two-dimensional sprite-based games across different genres such as shooters, puzzles, and action games. Cicero provides a host of features which can offer assistance in different stages of the game development process. Noteworthy features include AI agents for gameplay simulation, a game mechanics recommender system, a playtrace aggregator, heatmap-based game analysis, a sequential replay mechanism, and a query system that allows searching for particular interaction patterns. In order to evaluate the efficacy and usefulness of the different features of Cicero, we conducted a user study in which we compared how users perform in game debugging tasks with different kinds of assistance.