Abstract | ||
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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. |
Year | DOI | Venue |
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2021 | 10.1145/3411764.3445081 | Conference on Human Factors in Computing Systems |
Keywords | DocType | Volume |
Text entry, command input, word-gesture shortcuts, touchscreen, smartphones | Conference | 2021 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wenzhe Cui | 1 | 0 | 2.37 |
Suwen Zhu | 2 | 24 | 3.76 |
Zhi Li | 3 | 314 | 18.82 |
Zheer Xu | 4 | 10 | 2.11 |
Xing-Dong Yang | 5 | 94 | 10.07 |
I. V. Ramakrishnan | 6 | 1969 | 214.75 |
Xiaojun Bi | 7 | 490 | 32.68 |