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| Content Provider | ACM Digital Library |
|---|---|
| Author | Cattan, Elie Rochet-Capellan, Amélie Bérard, François |
| Abstract | With direct-touch interaction, users are sensitive to very low levels of latency, in the order of a few milliseconds. Assessing the end-to-end latency of a system is thus becoming an important part of touch-devices evaluation, and this must be precise and accurate. However, current latency estimation techniques are either imprecise, or they require complex setups involving external devices such as high-speed cameras. In this paper, we introduce and evaluate a novel method that does not require any external equipment and can be implemented with minimal efforts. The method is based on short-term prediction of the finger movement. The latency estimation is obtained on the basis of user calibration of the prediction to fully compensate the lag. In a user study, we show that the technique is more precise than a similar "low overhead' approach that was recently presented. |
| Starting Page | 215 |
| Ending Page | 218 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450338998 |
| DOI | 10.1145/2817721.2817747 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-11-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Direct-touch Prediction Measure Latency |
| Content Type | Text |
| Resource Type | Article |
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