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| Content Provider | ACM Digital Library |
|---|---|
| Author | De Luca, Alexander Alt, Florian Buschek, Daniel |
| Abstract | Typing is a common task on mobile devices and has been widely addressed in HCI research, mostly regarding quantitative factors such as error rates and speed. Qualitative aspects, like personal expressiveness, have received less attention. This paper makes individual typing behaviour visible to the users to render mobile typing more personal and expressive in varying contexts: We introduce a dynamic font personalisation framework, TapScript, which adapts a finger-drawn font according to user behaviour and context, such as finger placement, device orientation and movements - resulting in a handwritten-looking font. We implemented TapScript for evaluation with an online survey (N=91) and a field study with a chat app (N=11). Looking at resulting fonts, survey participants distinguished pairs of typists with 84.5% accuracy and walking/sitting with 94.8%. Study participants perceived fonts as individual and the chat experience as personal. They also made creative explicit use of font adaptations. |
| Starting Page | 125 |
| Ending Page | 130 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450336529 |
| DOI | 10.1145/2785830.2785844 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-08-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Touch typing Font personalisation Mobile |
| Content Type | Text |
| Resource Type | Article |
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