Hand Posture's Effect on Touch Screen Text Input Behaviors: A Touch Area Based Study
This work addresses the problem of slow and error-prone text entry on mobile devices for users, but it is incremental as it builds on prior research by expanding the analysis method.
The study analyzed text input behaviors on a soft QWERTY keyboard across three hand postures by using touch area data instead of single touch points, finding significant differences in offset calculations for two postures.
Mobile devices with touch keyboards have become ubiquitous, but text entry on these devices remains slow and errorprone. Understanding touch patterns during text entry could be useful in designing robust error-correction algorithms for soft keyboards. In this paper, we present an analysis of text input behaviors on a soft QWERTY keyboard in three different text entry postures: index finger only, one thumb, and two thumb. Our work expands on the work of [1] by considering the entire surface area of digit contact with the smartphone keyboard, rather than interpreting each touch as a single point. To do this, we captured touch areas for every key in a lab study with 8 participants and calculated offsets, error rates, and size measurements. We then repeated the original experiment described in [1] and showed that significant differences exist when basing offset calculations on touch area compared to touch points for two postures.