Explaining how to play real-time strategy games

Metoyer, R., Stumpf, S., Neumann, C., Dodge, J., Cao, J. & Schnabel, A. (2010). Explaining how to play real-time strategy games. Knowledge-Based Systems, 23(4), pp. 295-301. doi: 10.1016/j.knosys.2009.11.006

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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.

Item Type: Article
Uncontrolled Keywords: strategy, explanation, real-time games, user study
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: School of Informatics > Centre for Human Computer Interaction Design
URI: http://openaccess.city.ac.uk/id/eprint/210

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