TY - GEN
T1 - Dynamic difficulty adjustment for serious game using modified evolutionary algorithm
AU - Lach, Ewa
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - Dynamic Difficulty Adjustment (DDA) seeks to adapt the challenge a game poses to a human player. When the game is too easy the player can become bored, when it is too hard - frustrated. In the case of a serious game (educational game), additionally, without a balance between the player competence and the game challenge the game could repeatedly exploit the developed skills, or fail to achieve the pedagogical goals. In this paper evolutionary algorithm (EA) is used to find game settings suitable for the player of a serious math game. To reduce the number of training data and accelerate the search for the ‘right’ game difficulty level EA modifications are introduced. Various experiments are performed. The obtained results show that proposed methods can substantially decrease the time a human player has to wait for a suitable game level.
AB - Dynamic Difficulty Adjustment (DDA) seeks to adapt the challenge a game poses to a human player. When the game is too easy the player can become bored, when it is too hard - frustrated. In the case of a serious game (educational game), additionally, without a balance between the player competence and the game challenge the game could repeatedly exploit the developed skills, or fail to achieve the pedagogical goals. In this paper evolutionary algorithm (EA) is used to find game settings suitable for the player of a serious math game. To reduce the number of training data and accelerate the search for the ‘right’ game difficulty level EA modifications are introduced. Various experiments are performed. The obtained results show that proposed methods can substantially decrease the time a human player has to wait for a suitable game level.
KW - Dynamic difficulty adjustment (dda)
KW - Evolutionary algorithm
KW - Game ai
KW - Serious game
UR - https://www.scopus.com/pages/publications/85020938240
U2 - 10.1007/978-3-319-59063-9_33
DO - 10.1007/978-3-319-59063-9_33
M3 - Conference contribution
AN - SCOPUS:85020938240
SN - 9783319590622
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 370
EP - 379
BT - Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Proceedings
A2 - Tadeusiewicz, Ryszard
A2 - Zurada, Jacek M.
A2 - Zadeh, Lotfi A.
A2 - Rutkowski, Leszek
A2 - Korytkowski, Marcin
A2 - Scherer, Rafal
PB - Springer Verlag
T2 - 16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017
Y2 - 11 June 2017 through 15 June 2017
ER -