TypeShift: A User Interface for Visualizing the Typing Production Process

TL;DR

TypeShift is an interactive visualization tool that helps researchers analyze linguistic and cognitive patterns in typing and speech production by displaying timing data at multiple levels, facilitating comparison across sessions and groups.

Contribution

It introduces a novel web-based interface for visualizing complex typing and speech timing data, adaptable for various linguistic and cognitive research applications.

Findings

Enables comparison of individual and group typing patterns

Facilitates analysis of linguistic phenomena in timing data

Can be adapted for speech data analysis

Abstract

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.