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| Content Provider | ACM Digital Library |
|---|---|
| Author | Borchers, Jan Heller, Florian Blum, Jeffrey R. Kosuru, Ravi Kanth Hamdan, Nur Al-huda |
| Abstract | This paper investigates the pinch angle as a menu selection technique for two-dimensional foldable textile controllers. Based on the principles of marking menus, the selection of a menu item is performed by grabbing a fold at a specific angle, while changing value is performed by rolling the fold between the fingers. In a first experiment we determined an upper bound for the number of different angles users can reliably grab into a piece of fabric on their forearm. Our results show that users can, without looking at it, reliably grab fabric on their forearm with an average accuracy between 30° and 45°, which would provide up to six different menu options selectable with the initial pinch. In a second experiment, we show that our textile sensor, Grabrics, can detect fold angles at 45° spacing with up to 85% accuracy. Our studies also found that user performance and workload are independent of the fabric types that were tested. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450344609 |
| DOI | 10.1145/2971763.2971786 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-09-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Smart fabric Textile interfaces Marking menus Wearable computing Input device |
| Content Type | Text |
| Resource Type | Article |
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