masterhead masterhead  masterhead

Generic Method for Crafting Deformable Interfaces to Physically Augment Smartphones


Though we live in the era of the touchscreen (tablet PCs and smart phones providing a rigid and flat interface) people and the industry are getting excited about the world of tangible 3D interfaces. This may be explained for two reasons: first, the emergence of cheap vision-based gestural interfaces conquering the space above and below the screen (but without haptic feedback), and second - and perhaps more important for the present discussion - the explosion of the 3D printing industry and the possibility for the end user to not only customize the layout of icons on a screen, but also of designing their own physical interface from scratch. Mass-produced smartphones could then be seen as bare-bone electronics devices whose shape can be physically augmented, personalized and crafted.

deformable interface bear

In order to introduce DIY techniques in the world of deformable input-output interfaces, it is necessary to provide a generic manufacturing/sensing method for such arbitrarily designed shapes. The goal of this project is to investigate minimally invasive methods (no wirings) to physically augment tablet PCs or smartphones. By putting a deformable object over the front or rear camera - this 'object' can be part of the smartphone case itself - and by making the inside of the object partially transparent, the complex light reflections can be used to recognize patterns of deformation or grasping and map them to different UI actions. A machine learning algorithm allows object shape and deformation to be designed arbitrarily, bringing the device physical personalization at a level never reached before, with minimal interference with its original hardware.




  1. Watanabe Ch., Cassinelli A., Watanabe Y., Masatoshi I.: Generic Method for Crafting Deformable Interfaces to Physically Augment Smartphones, CHI '14 Extended Abstracts: ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2014Apr 26 - May 01 2014, Toronto, ON, Canada (2014) [PDF-3MB]
Ishikawa Group Laboratory, Data Science Research Division, Information Technology Center, University of Tokyo / Tokyo University of Science
Ishikawa Group Laboratory WWW admin: contact
Copyright © 2008 Ishikawa Group Laboratory. All rights reserved.