existing annotation approaches require users to manually type notes to record the semantic
meaning of their findings. They require high effort from multi-touch interface users since
these users often experience low typing speeds and high typing errors. To lower the typing
effort and improve the quality of the generated annotations, we propose a new approach that
semi-automatically generates annotations with rich semantic meanings on multidimensional …