The development of assisting techniques in shared lateral driving control is a growing field. However, the acceptance and use of these systems requires their adaptation and individualization to the unique preferences and driving styles of individual users. In this work, we present the Individual Path Pattern Targeting (IPPT) algorithm for shared control, a novel approach to detect path following tendencies of drivers, who share the driving task with an intervening assistance system in lateral control. The algorithm provides a basis to adapt the objective target of the system to the path tendencies of the driver. The algorithm is applied to real driving data of a shared control scenario with a Lane-Keeping Assist System. The data of three drivers who differ in their attitude towards assisting techniques, is analyzed. The resulting adapted reference paths for each driver align with their self-reported preferences, though further research with a larger sample size is necessary to validate these findings.