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Sprayable User Interfaces: Prototyping Large-Scale Interactive Surfaces with Sensors and Displays
Name
2020-chi-sprayableuserinterfaces-paper.pdf
Description
Accepted version
Size
941.18 KB
Format
Adobe PDF
Checksum (MD5)
38968ef014c2de2332d2dc3e12f686dd
Author(s)
Wessely, Michael
Sethapakdi, Ticha
Castillo, Carlos
Snowden, Jackson C.
Hanton, Ollie
Qamar, Isabel P. S.
Fraser, Mike
Roudaut, Anne
Mueller, Stefanie
Date Issued
April 2020
Journal
Conference on Human Factors in Computing Systems - Proceedings
Publisher
ACM
Citation
Wessely, Michael, Sethapakdi, Ticha, Castillo, Carlos, Snowden, Jackson C., Hanton, Ollie et al. 2020. "Sprayable User Interfaces: Prototyping Large-Scale Interactive Surfaces with Sensors and Displays." Conference on Human Factors in Computing Systems - Proceedings.
Version
Author's final manuscript
Abstract
© 2020 ACM. We present Sprayable User Interfaces: room-sized interactive surfaces that contain sensor and display elements created by airbrushing functional inks. Since airbrushing is inherently mobile, designers can create large-scale user interfaces on complex 3D geometries where existing stationary fabrication methods fail. To enable Sprayable User Interfaces, we developed a novel design and fabrication pipeline that takes a desired user interface layout as input and automatically generates stencils for airbrushing the layout onto a physical surface. After fabricating stencils from cardboard or projecting stencils digitally, designers spray each layer with an airbrush, attach a microcontroller to the user interface, and the interface is ready to be used. Our technical evaluation shows that Sprayable User Interfaces work on various geometries and surface materials, such as porous stone and rough wood. We demonstrate our system with several application examples including interactive smart home applications on a wall and a soft leather sofa, an interactive smart city application, and interactive architecture in public office spaces.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1145/3313831.3376249
