GestAKey: Touch Interaction on Individual Keycaps

Show simple item record Shi, Yilei en Zhang, Haimo en Rajapakse, Hasitha en Perera, Nuwan Tharaka en Vega Gálvez, Tomás en Nanayakkara, Suranga en 2018-12-05T00:50:58Z en 2018 en
dc.identifier.isbn 978-1-4503-5620-6 en
dc.identifier.uri en
dc.description.abstract Conventionally, keys on a physical keyboard have only two states: "released” and "pressed”. As such, various techniques, such as hotkeys, are designed to enhance the keyboard expressiveness. Realizing that user inevitably perform touch actions during keystrokes, we propose GestAKey, leveraging location and motion of the touch on individual keycaps to augment the functionalities of existing keystrokes. With a log study, we collected touch data for both normal usage (typing and hotkeys) and while performing touch gestures (location and motion), which are analyzed to assess the viability of augmenting keystrokes with simultaneous gestures. A controlled experiment was conducted to compare GestAKey with existing keyboard interaction techniques, in terms of efficiency and learnability. The results show that GestAKey has comparable performance with hotkey. We further discuss the insights of integrating such touch modality into existing keyboard interaction, and demonstrate several usage scenarios. en
dc.publisher ACM en
dc.relation.ispartofseries Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title GestAKey: Touch Interaction on Individual Keycaps en
dc.type Conference Item en
dc.identifier.doi 10.1145/3173574.3174170 en
pubs.begin-page 596:1 en
dc.rights.holder Copyright: The author en
pubs.end-page 596:12 en
dc.rights.accessrights en
pubs.elements-id 740074 en Bioengineering Institute en
pubs.record-created-at-source-date 2018-05-13 en

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