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Discriminating task solving strategies using statistical and analytical methods

We have recorded the behaviour of several users solving the same task with an interactive database program. Since the number of users exceeds that of strategies, multiple users will have a strategy in common. Our aim is to find groups of users sharing the same strategy. Following each of three methods (correlation, intersection and exclusion) we define a comparative metric among task solving behaviour. For multiple users, we represent these measures by a matrix system, to find groups of users with common strategies. Multidimensional scaling or analytic interpretation indicates distinct user groups.