Open Universiteit

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/9150
Title: Adaptation and Assessment (TwoA) asset in C# (v1.1)
Authors: Nyamsuren, Enkhbold
Keywords: automatic game adaptation
stealth assessment
adaptation algorithm
RAGE
Issue Date: 17-Mar-2016
Citation: Nyamsuren, E. (2016). Adaptation and Assessment (TwoA) asset in C# (version 1.1) [Software]. Heerlen, The Netherlands: Open Universiteit. Available under the Apache License, Version 2.0 from https://github.com/rageappliedgame/HatAsset
Abstract: Developed within the RAGE project funded by EU within Horizon2020 program. This asset enables a real-time automatic adaptation of game difficulty to player's expertise level. The adaptation algorithm makes use of a stealth assessment algorithm that assigns difficulty ratings and expertise ratings to the players and the game modules respectively. The asset tracks changes in these ratings allowing assessment of players' learning progress either by players themselves or by instructors. This is the version written in C# language.
Description: RAGE products are licensed under the Apache License, Version 2.0 (the "License"). See the License for the specific language governing permissions and limitations under the License: http://www.apache.org/licenses/LICENSE-2.0
URI: http://hdl.handle.net/1820/9150
Appears in Collections:4. RAGE Products

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