SurfaceLink: Using Inertial and Acoustic Sensing to Enable Multi-device Interaction on a Surface. Goel, M., Lee, B., Islam Aumi, M. T., Patel, S., Borriello, G., Hibino, S., & Begole, B. In Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems, of CHI '14, pages 1387--1396, New York, NY, USA, 2014. ACM. 00000![SurfaceLink: Using Inertial and Acoustic Sensing to Enable Multi-device Interaction on a Surface [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex We present SurfaceLink, a system where users can make natural surface gestures to control association and information transfer among a set of devices that are placed on a mutually shared surface (e.g., a table). SurfaceLink uses a combination of on-device accelerometers, vibration motors, speakers and microphones (and, optionally, an off-device contact microphone for greater sensitivity) to sense gestures performed on the shared surface. In a controlled evaluation with 10 participants, SurfaceLink detected the presence of devices on the same surface with 97.7% accuracy, their relative arrangement with 89.4% accuracy, and various single- and multi-touch surface gestures with an average accuracy of 90.3%. A usability analysis showed that SurfaceLink has advantages over current multi-device interaction techniques in a number of situations.
@inproceedings{goel_surfacelink:_2014,
address = {New York, NY, USA},
series = {{CHI} '14},
title = {{SurfaceLink}: {Using} {Inertial} and {Acoustic} {Sensing} to {Enable} {Multi}-device {Interaction} on a {Surface}},
isbn = {978-1-4503-2473-1},
shorttitle = {{SurfaceLink}},
url = {http://doi.acm.org/10.1145/2556288.2557120},
doi = {10.1145/2556288.2557120},
abstract = {We present SurfaceLink, a system where users can make natural surface gestures to control association and information transfer among a set of devices that are placed on a mutually shared surface (e.g., a table). SurfaceLink uses a combination of on-device accelerometers, vibration motors, speakers and microphones (and, optionally, an off-device contact microphone for greater sensitivity) to sense gestures performed on the shared surface. In a controlled evaluation with 10 participants, SurfaceLink detected the presence of devices on the same surface with 97.7\% accuracy, their relative arrangement with 89.4\% accuracy, and various single- and multi-touch surface gestures with an average accuracy of 90.3\%. A usability analysis showed that SurfaceLink has advantages over current multi-device interaction techniques in a number of situations.},
urldate = {2014-05-19TZ},
booktitle = {Proceedings of the 32Nd {Annual} {ACM} {Conference} on {Human} {Factors} in {Computing} {Systems}},
publisher = {ACM},
author = {Goel, Mayank and Lee, Brendan and Islam Aumi, Md. Tanvir and Patel, Shwetak and Borriello, Gaetano and Hibino, Stacie and Begole, Bo},
year = {2014},
note = {00000},
pages = {1387--1396}
}
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