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BackSwipe: Back-of-device Word-Gesture Interaction on Smartphones.
Cui, Wenzhe; Xu, Zheer; Zhu, Suwen; Yang, Xing-Dong; Bi, Xiaojun; Li, Zhi; Ramakrishnan, I V.
Afiliação
  • Cui W; Stony Brook University.
  • Xu Z; Dartmouth College.
  • Zhu S; Grammarly, Inc.
  • Yang XD; Dartmouth College.
  • Bi X; Stony Brook University.
  • Li Z; Stony Brook University.
  • Ramakrishnan IV; Stony Brook University.
Article em En | MEDLINE | ID: mdl-35237772
ABSTRACT
Back-of-device interaction is a promising approach to interacting on smartphones. In this paper, we create a back-of-device command and text input technique called BackSwipe, which allows a user to hold a smartphone with one hand, and use the index finger of the same hand to draw a word-gesture anywhere at the back of the smartphone to enter commands and text. To support BackSwipe, we propose a back-of-device word-gesture decoding algorithm which infers the keyboard location from back-of-device gestures, and adjusts the keyboard size to suit the gesture scales; the inferred keyboard is then fed back into the system for decoding. Our user study shows BackSwipe is feasible and a promising input method, especially for command input in the one-hand holding posture users can enter commands at an average accuracy of 92% with a speed of 5.32 seconds/command. The text entry performance varies across users. The average speed is 9.58 WPM with some users at 18.83 WPM; the average word error rate is 11.04% with some users at 2.85%. Overall, BackSwipe complements the extant smartphone interaction by leveraging the back of the device as a gestural input surface.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article