Name
Abstract | ||
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This work augments context-sensitive app prediction feature to the suggestion bar of a mobile virtual keyboard to accommodate fast and easy information acquisition and sharing in textual conversations. The purpose is to eliminate the need for switching between apps while typing. A user study revealed that the proposed method improves performance both in terms of speed and effort for common tasks, such as playing a song or finding and sharing the address of a restaurant. Post-study questionnaire revealed that all participants found the method fast, easy, and likely to facilitate more engaging and meaningful textual conversations. All wanted to keep using it on their mobile devices.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3365610.3368414 | Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia |
Keywords | Field | DocType |
apps, prediction bar, smartphones, suggestion bar, text entry | Computer science,Human–computer interaction,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-7624-2 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laxmi Pandey | 1 | 1 | 1.70 |
| Ahmed Sabbir Arif | 2 | 5 | 7.49 |