Grabbing at an Angle: Menu Selection for Fabric Interfaces

 An embroidered textile sensor for detecting pinch angles.

Description

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.


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Paper (ISWC 16)
LBW (CHI 16)
Video
Poster
Smart Textiles research
Project folder [Internal Access]
Funding project: Intuitex
Contact: Nur Hamdan

Authors

Relevant Links

Publications

    2016

  • 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.
    MoviePDF DocumentBibTeX Entry
  • 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.
    HomepagePDF DocumentBibTeX Entry

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