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Counterpoint : exploring mixed-scale gesture interaction for AR applications

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Counterpoint_CHI18_LBW_v3.pdf (1000.Kb)
Date
20/04/2018
Author
Ens, Barrett
Quigley, Aaron
Yeo, Hui Shyong
Irani, Pourang
Piumsomboon, Thammathip
Billinghurst, Mark
Keywords
Augmented reality
Gesture interaction
Wearable computing
QA75 Electronic computers. Computer science
T Technology
Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software
T-NDAS
Metadata
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Abstract
This paper presents ongoing work on a design exploration for mixed-scale gestures, which interleave microgestures with larger gestures for computer interaction. We describe three prototype applications that show various facets of this multi-dimensional design space. These applications portray various tasks on a Hololens Augmented Reality display, using different combinations of wearable sensors. Future work toward expanding the design space and exploration is discussed, along with plans toward evaluation of mixed-scale gesture design.
Citation
Ens , B , Quigley , A , Yeo , H S , Irani , P , Piumsomboon , T & Billinghurst , M 2018 , Counterpoint : exploring mixed-scale gesture interaction for AR applications . in Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA'18) . vol. 2018-April , LBW120 , Association for Computing Machinery, Inc , New York, NY , ACM CHI 2018 Conference on Human Factors in Computing Systems , Montréal , Canada , 21/04/18 . https://doi.org/10.1145/3170427.3188513
 
conference
 
Publication
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA'18)
DOI
https://doi.org/10.1145/3170427.3188513
Type
Conference item
Rights
© 2018, the Owner/Author(s). This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3170427.3188513
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/17253

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