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arXiv · 2112.12126

Eliciting Gestures for Novel Note-taking Interactions

Abstract

Handwriting recognition is improving in leaps and bounds, and this opens up new opportunities for stylus-based interactions. In particular, note-taking applications can become a more intelligent user interface, incorporating new features like autocomplete and integrated search. In this work we ran a gesture elicitation study, asking 21 participants to imagine how they would interact with an imaginary, intelligent note-taking application. We report agreement on the elicited gestures, finding that while existing common interactions are prevalent (like double taps and long presses) a number of more novel interactions (like dragging selected items to hotspots or using annotations) were also well-represented. We discuss the mental models participants drew on when explaining their gestures and what kind of feedback users might need to move to more stylus-centric interactions.

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Katy Ilonka Gero, Lydia B. Chilton, Chris Melancon, Mike Cleron. 2021-12-22. Eliciting Gestures for Novel Note-taking Interactions. https://arxiv.org/abs/2112.12126

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