Name
Abstract | ||
|---|---|---|
We propose a method for accommodating predictive number entry and editing on mobile devices via the suggestion bar of a virtual keyboard. We developed a simple predictive system to demonstrate the benefit of this method. It utilizes text-based querying and regular expression to suggest the most probable next numeric actions in the suggestion bar along with word suggestions. We evaluated this method in two user studies. The first explored number entry and the second explored editing. Results revealed that the proposed method significantly increases number entry and editing speed and accuracy. It reduces the number of actions needed per task. It also significantly reduces the time and effort needed to fix errors. Subjective analysis revealed that almost all participants found the method faster, more reliable, and easier to use than the conventional method, thus wanted to keep using it on their mobile devices.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3343413.3377957 | CHIIR '20: Conference on Human Information Interaction and Retrieval
Vancouver BC
Canada
March, 2020 |
Keywords | DocType | ISBN |
Text entry, numeric and special characters, symbols, digits, predictive text, suggestion bar | Conference | 978-1-4503-6892-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laxmi Pandey | 1 | 0 | 0.68 |
| Azar Alizadeh | 2 | 0 | 0.34 |
| Ahmed Sabbir Arif | 3 | 5 | 7.49 |