@inproceedings{cbc281453c854f81a304d1d0a7da96e4,
title = "Explaining how to play real-time strategy games",
abstract = "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.",
author = "Ronald Metoyer and Simone Stumpf and Christoph Neumann and Jonathan Dodge and Jill Cao and Aaron Schnabel",
note = "Funding Information: The authors would like to thank the study participants and gratefully acknowledge support of the Defense Advanced Research Projects Agency under DARPA Grant No. FA8650-06-C-7605 . Views and conclusions contained in this document are those of the authors and do not necessarily represent the official opinion or policies, either expressed or implied of the US government or of DARPA.; 29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2009 ; Conference date: 15-12-2009 Through 17-12-2009",
year = "2010",
doi = "10.1007/978-1-84882-983-1\_18",
language = "English (US)",
isbn = "9781848829824",
series = "Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII",
publisher = "Springer London",
pages = "249--262",
booktitle = "Research and Development in Intelligent Systems XXVI",
address = "United Kingdom",
}