You are here

Explaining How to Play Real-Time Strategy Games

TitleExplaining How to Play Real-Time Strategy Games
Publication TypeJournal Article
Year of Publication2010
AuthorsMetoyer, R. A., S. Stumpf, C. Neumann, J. E. Dodge, J. Cao, and A. Schnabel
JournalKnowledge-Based Systems
Pagination295 - 301
Date Published05/2010
Keywordsexplanation, real-time games, strategy, user study

Real-time strategy games share many aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine learning. End-user annotations could help to provide supplemental information for learning algorithms, especially when training data is sparse. This paper presents a formative study to uncover how experienced users explain game play in real-time strategy games. We report the results of our analysis of explanations and discuss their characteristics that could support the design of systems for use by experienced real-time strategy game users in specifying or annotating strategy-oriented behavior.

Short TitleKnowledge-Based Systems