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
Bioengineering
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Games
Tools
Artificial intelligence
Task analysis
Data visualization
Debugging
Design tools
AI for Games
Game Debugging
Game Design
Game Prototyping
AI-Assisted Game Design Tools
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.