Abstract
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 customise the layout of icons on a screen, but also of designing their own physical, deformable interface from scratch. Mass-produced smartphones could then be seen as bare-bone electronics devices whose shape can be physically augmented, personalised and crafted. Now, 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 paper is to demonstrate a minimally invasive method (i.e. no wiring) to physically augment rigid 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 recognise patterns of deformation/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 personalisation at a level never reached before, with minimal interference with its original hardware.
| Original language | English |
|---|---|
| Title of host publication | CHI 2014: One of a CHInd - Extended Abstracts, The 32nd Annual ACM Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| Pages | 1309-1314 |
| ISBN (Print) | 9781450324748 |
| DOIs | |
| Publication status | Published - Apr 2014 |
| Externally published | Yes |
| Event | 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI 2014) - Metro Toronto Convention Centre, Toronto, Canada Duration: 26 Apr 2014 → 1 May 2014 https://chi2014.acm.org/ |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Conference | 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI 2014) |
|---|---|
| Place | Canada |
| City | Toronto |
| Period | 26/04/14 → 1/05/14 |
| Internet address |
Research Keywords
- 3D interfaces
- Deformable interfaces
- DIY
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