A Dataset of Noisy Typing on QWERTY Keyboards

Keith Vertanen, Per Ola Kristensson

IUI '23: Proceedings of the ACM International Conference on Intelligent User Interfaces (open science), 2023.

Text entry is a common and important part of many intelligent user interfaces. However, inferring a user's intended text from their input can be challenging: motor actions can be imprecise, input sensors can be noisy, situations or disabilities can hamper users' perception of interface feedback. Numerous prior studies have explored input on touchscreen phones, smartwatches, in mid-air, and on desktop keyboards. Based on these prior studies, we are releasing a large and diverse data set of noisy typing input consisting of thousands of sentences written by hundreds of users on QWERTY-layout keyboards. This paper describes the various subsets contained in this new research dataset as well as the data format.