TY - GEN
T1 - Explaining how to play real-time strategy games
AU - Metoyer, Ronald
AU - Stumpf, Simone
AU - Neumann, Christoph
AU - Dodge, Jonathan
AU - Cao, Jill
AU - Schnabel, Aaron
N1 - 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.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
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U2 - 10.1007/978-1-84882-983-1_18
DO - 10.1007/978-1-84882-983-1_18
M3 - Conference contribution
AN - SCOPUS:84882253000
SN - 9781848829824
T3 - Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII
SP - 249
EP - 262
BT - Research and Development in Intelligent Systems XXVI
PB - Springer London
T2 - 29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2009
Y2 - 15 December 2009 through 17 December 2009
ER -