Rights statement: © 2017 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery. 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1, 3, 2017 http://doi.acm.org/10.1145/3130910
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Remote Control by Body Movement in Synchrony with Orbiting Widgets
T2 - an Evaluation of TraceMatch
AU - Clarke, Christopher
AU - Bellino, Alessio
AU - Abreu Esteves, Augusto Emanuel
AU - Gellersen, Hans-Werner Georg
N1 - © 2017 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery. 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1, 3, 2017 http://doi.acm.org/10.1145/3130910
PY - 2017/9/1
Y1 - 2017/9/1
N2 - In this work we consider how users can use body movement for remote control with minimal effort and maximum flexibility. TraceMatch is a novel technique where the interface displays available controls as circular widgets with orbiting targets, and where users can trigger a control by mimicking the displayed motion. The technique uses computer vision to detect circular motion as a uniform type of input, but is highly appropriable as users can produce matching motion with any part of their body. We present three studies that investigate input performance with different parts of the body, user preferences, and spontaneous choice of movements for input in realistic application scenarios. The results show that users can provide effective input with their head, hands and while holding objects, that multiple controls can be effectively distinguished by the difference in presented phase and direction of movement, and that users choose and switch modes of input seamlessly.
AB - In this work we consider how users can use body movement for remote control with minimal effort and maximum flexibility. TraceMatch is a novel technique where the interface displays available controls as circular widgets with orbiting targets, and where users can trigger a control by mimicking the displayed motion. The technique uses computer vision to detect circular motion as a uniform type of input, but is highly appropriable as users can produce matching motion with any part of their body. We present three studies that investigate input performance with different parts of the body, user preferences, and spontaneous choice of movements for input in realistic application scenarios. The results show that users can provide effective input with their head, hands and while holding objects, that multiple controls can be effectively distinguished by the difference in presented phase and direction of movement, and that users choose and switch modes of input seamlessly.
U2 - 10.1145/3130910
DO - 10.1145/3130910
M3 - Journal article
VL - 1
JO - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
JF - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
SN - 2474-9567
IS - 3
M1 - 45
ER -