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Expressive Keyboards: Enriching Gesture-Typing on Mobile Devices
Jessalyn Alvina, Joseph W Malloch, Wendy Mackay



UIST 2016: Proceedings of the 29th Annual ACM Symposium on User Interface Software & Technology

Abstract:
Gesture-typing is an efficient, easy-to-learn, and errortolerant technique for entering text on software keyboards. Our goal is to “recycle” users’ otherwise-unused gesture variation to create rich output under the users’ control, without sacrificing accuracy. Experiment 1 reveals a high level of existing gesture variation, even for accurate text, and shows that users can consciously vary their gestures under different conditions. We designed an Expressive Keyboard for a smart \ phone which maps input gesture features identified in Experiment 1 to a continuous output parameter space, i.e. RGB color. Experiment 2 shows that users can consciously modify \ their gestures, while retaining accuracy, to generate specific colors as they gesture-type. Users are more successful when they focus on output characteristics (such as red) rather than input characteristics (such as curviness). We designed an app with a dynamic font engine that continuously interpolates between several typefaces, as well as controlling weight and random variation. Experiment 3 shows that, in the context of a more ecologically-valid conversation task, users enjoy generating multiple forms of rich output. We conclude with suggestions for how the Expressive Keyboard approach can enhance a wide variety of gesture recognition applications.

ACM DL: http://dl.acm.org/citation.cfm?id=298...
DOI: http://dx.doi.org/10.1145/2984511.298...

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https://uist.acm.org/uist2016/