Tacit knowledge capture

A computer-implemented method for guiding a novice user attempting a task, the method comprising:

• receiving first novice data, the first novice data comprising first novice real-time data received while the novice user attempts the task, the first novice real-time data comprising first novice sensor data from a second plurality of sensors monitoring the novice user and/or the surroundings of the novice user;
• accessing a database which stores one or more sequences of expert actions, wherein the one or more sequences of expert actions have been determined by processing data captured from an expert user;
• comparing the first novice data to the one or more sequences of expert actions;
• identifying a sequence of expert actions which meets a first predetermined threshold of similarity with the first novice data;
• analysing the first novice data using a machine learning system to determine what actions the novice user is performing, wherein the analysing comprises:
• classifying the first novice data to determine novice actions that the novice user is performing;
• comparing the determined novice actions to the sequence of expert actions from the identified sequence of expert actions in the database;
• communicating feedback to the novice user to guide the novice user if the comparison between the determined novice actions and the sequence of expert actions does not meet a second predetermined similarity threshold.