Grabbing at an Angle: Menu Selection for Fabric Interfaces
An embroidered textile sensor for detecting pinch angles.
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.
Nur Al-huda Hamdan, Jeffrey Blum, Florian Heller, Ravi Kanth Kosuru and Jan Borchers. Grabbing at an Angle: Menu Selection for Fabric Interfaces. In ISWC '16: Proceedings of the 2016 International Symposium on Wearable Computers,September 2016.
Nur Al-huda Hamdan, Florian Heller, Chat Wacharamanotham, Jan Thar and Jan Borchers. Grabrics: A Foldable Two-Dimensional Textile Input Controller. In Extended Abstracts of the 2016 CHI Conference on Human Factors in Computing Systems, CHI EA '16, pages 2497–2503,May 2016.