TY - GEN
T1 - Multi-parameter dynamic difficulty game's scenario using Box-Muller of Gaussian distribution
AU - Sukajaya, I. Nyoman
AU - Vitianingsih, Anik Vega
AU - Mardi, S. N.Supeno
AU - Purnama, Ketut Eddy
AU - Hariadi, Mochamad
AU - Purnomo, Mauridhi H.
PY - 2012
Y1 - 2012
N2 - Scenario is an important aspect in a game. It controls players experience according to the scenario that has been composed. Diversity design of scenario and unpredicted event make the game more challenging. This paper investigates the usage of multi-parameter Box-Muller method of Gaussian distribution in adjusting dynamically game scenario. Those parameters are mean (μ) and standard deviation (σ). Scenario is designed at cave stage of pedagogical game Reog Ponorogo using mathematics problems as game's challenge. Challenges are defined as six categories cognitive domain of Bloom taxonomy. Those categories are: knowledge, comprehension, application, analysis, synthesis, and evaluation. Problem domain includes the following: sequences and series, probability and mathematical logic. Box-Muller method is used to select five of ten available problems at random, and Gaussian distribution was used to dynamically adjusting difficulty level of problems in order to match player's skill.
AB - Scenario is an important aspect in a game. It controls players experience according to the scenario that has been composed. Diversity design of scenario and unpredicted event make the game more challenging. This paper investigates the usage of multi-parameter Box-Muller method of Gaussian distribution in adjusting dynamically game scenario. Those parameters are mean (μ) and standard deviation (σ). Scenario is designed at cave stage of pedagogical game Reog Ponorogo using mathematics problems as game's challenge. Challenges are defined as six categories cognitive domain of Bloom taxonomy. Those categories are: knowledge, comprehension, application, analysis, synthesis, and evaluation. Problem domain includes the following: sequences and series, probability and mathematical logic. Box-Muller method is used to select five of ten available problems at random, and Gaussian distribution was used to dynamically adjusting difficulty level of problems in order to match player's skill.
KW - Box-Muller
KW - Game Scenario
KW - Gaussian Distribution
KW - Learning Mathematics
UR - http://www.scopus.com/inward/record.url?scp=84868091995&partnerID=8YFLogxK
U2 - 10.1109/ICCSE.2012.6295384
DO - 10.1109/ICCSE.2012.6295384
M3 - Conference contribution
AN - SCOPUS:84868091995
SN - 9781467302425
T3 - ICCSE 2012 - Proceedings of 2012 7th International Conference on Computer Science and Education
SP - 1666
EP - 1671
BT - ICCSE 2012 - Proceedings of 2012 7th International Conference on Computer Science and Education
T2 - 2012 7th International Conference on Computer Science and Education, ICCSE 2012
Y2 - 14 July 2012 through 17 July 2012
ER -