ITE Typing dataset

<p>A large-scale mobile typing dataset contains 46 755 participants typing sentences in English and 8661 participants in Finnish on their own mobile devices. Participants used various iPhone and Android devices with different operation system versions. The data was collected between 2019 and 2020 by the Computational Behaviour Lab of Aalto University.&nbsp;The user's typing operations and use of Intelligent Text Entry (ITE) methods (Autocorrection and Suggestion Bar) are labelled on a keystroke level. The dataset enables analysis of the effects of the user demographics and the usage and accuracy of ITE methods on typing. The dataset also has a separate table for all ITE corrected and predicted words e.g. for the ITE error analysis.&nbsp;</p> <p>Code repository: <a href="https://github.com/aalto-speech/ite-typing-dataset/">https://github.com/aalto-speech/ite-typing-dataset/</a></p> <p>&nbsp;</p> <p>Citation:</p> <p>Leino, Katri, Markku Laine, Mikko Kurimo, and Antti Oulasvirta. Mobile Typing with Intelligent Text Entry: A Large-Scale Dataset and Results. 2024. <a href="https://doi.org/10.21203/rs.3.rs-4654512/v1" rel="nofollow">https://doi.org/10.21203/rs.3.rs-4654512/v1</a></p> <p>&nbsp;</p>