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. 2017 May 2;27(2):267–311. doi: 10.1007/s11257-017-9192-3

Fig. 1.

Fig. 1

An overview of our personalised user modelling approach for evaluating a driver in car racing. Low level inputs are being converted to performance metrics using either the expert or the user’s “best” data. They are then transformed using Trace Theory through game related rules and significance weights into values representing variables from the concept of flow. Finally, the performance and state of the user, that is represented by these variables, are exploited to instruct how each segment path is going to be altered