A Dataset of Noisy Typing on QWERTY Keyboards

Document Type

Conference Proceeding

Publication Date

3-27-2023

Abstract

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, and situations or disabilities can hamper a user's 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.

Publication Title

International Conference on Intelligent User Interfaces, Proceedings IUI

ISBN

9798400701078

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