Conference Proceedings
A Tool for Capturing Smartphone Screen Text
S Teng, S D'Alfonso, V Kostakos
Conference on Human Factors in Computing Systems - Proceedings | ACM | Published : 2024
Abstract
Context sensing on smartphones is often used to understand user behaviour. Amongst the many available sensors, the collection of text is crucial due to its richness. However, previous work has been limited to collecting text only from keyboard input, or intermittently collecting screen text indirectly by taking screenshots and applying optical character recognition. Here, we present a novel software sensor that unobtrusively and continuously captures all screen text on smartphones. We conducted a validation study with 21 participants over a two-week period, where they used our software on their personal smartphones. Our findings demonstrate how data from our sensor can be used to understand ..
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Grants
Awarded by Silicon Valley Community Foundation
Funding Acknowledgements
Development of the screen text sensor was supported by a grant from the Cisco University Research Program Fund and the Silicon Valley Community Foundation (ID: 2021-232746 3696), and with help from Tianyi Zhang. Additionally, this work is partially funded by NHMRC grants 1170937 and 2004316 and AUSMURI grant 13203896.