  TypeShift is a tool for visualizing linguistic patterns in the timing of
typing production. Language production is a complex process which draws on
linguistic, cognitive and motor skills. By visualizing holistic trends in the
typing process, TypeShift aims to elucidate the often noisy information signals
that are used to represent typing patterns, both at the word-level and
character-level. It accomplishes this by enabling a researcher to compare and
contrast specific linguistic phenomena, and compare an individual typing
session to multiple group averages. Finally, although TypeShift was originally
designed for typing data, it can easy be adapted to accommodate speech data, as
well. A web demo is available at https://angoodkind.shinyapps.io/TypeShift/.
The source code can be accessed at https://github.com/angoodkind/TypeShift.
