Explaining how to play real-time strategy games

Ronald Metoyer; Simone Stumpf; Christoph Neumann; Jonathan Dodge; Jill Cao; Aaron Schnabel

doi:10.1016/j.knosys.2009.11.006

Explaining how to play real-time strategy games

Ronald Metoyer, Simone Stumpf, Christoph Neumann, Jonathan Dodge, Jill Cao, Aaron Schnabel

College of Information Sciences and Technology

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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.

Original language	English (US)
Pages (from-to)	295-301
Number of pages	7
Journal	Knowledge-Based Systems
Volume	23
Issue number	4
DOIs	https://doi.org/10.1016/j.knosys.2009.11.006
State	Published - May 2010

All Science Journal Classification (ASJC) codes

Management Information Systems
Software
Information Systems and Management
Artificial Intelligence

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10.1016/j.knosys.2009.11.006

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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. ",

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AU - Stumpf, Simone

AU - Neumann, Christoph

AU - Dodge, Jonathan

AU - Cao, Jill

AU - Schnabel, Aaron

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Explaining how to play real-time strategy games

Abstract

All Science Journal Classification (ASJC) codes

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