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Pointing all around you : selection performance of mouse and ray-cast pointing in full-coverage displays

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pointing_selection_performance_5_.pdf (1.991Mb)
Date
21/04/2018
Author
Petford, Julian
Nacenta, Miguel
Gutwin, Carl
Keywords
Pointing
Targeting
Immersive spaces
Full-coverage displays
Multi-display environments
Laser pointing
QA75 Electronic computers. Computer science
T Technology
NDAS
Metadata
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Abstract
As display environments become larger and more diverse - now often encompassing multiple walls and room surfaces - it is becoming more common that users must find and manipulate digital artifacts not directly in front of them. There is little understanding, however, about what techniques and devices are best for carrying out basic operations above, behind, or to the side of the user. We conducted an empirical study comparing two main techniques that are suitable for full-coverage display environments: mouse-based pointing, and ray-cast `laser' pointing. Participants completed search and pointing tasks on the walls and ceiling, and we measured completion time, path lengths and perceived effort. Our study showed a strong interaction between performance and target location: when the target position was not known a priori the mouse was fastest for targets on the front wall, but ray-casting was faster for targets behind the user. Our findings provide new empirical evidence that can help designers choose pointing techniques for full-coverage spaces.
Citation
Petford , J , Nacenta , M & Gutwin , C 2018 , Pointing all around you : selection performance of mouse and ray-cast pointing in full-coverage displays . in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18) . , 533 , ACM , New York, NY , ACM CHI 2018 Conference on Human Factors in Computing Systems , Montréal , Canada , 21/04/18 . DOI: 10.1145/3173574.3174107
 
conference
 
Publication
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI'18)
DOI
https://doi.org/10.1145/3173574.3174107
Type
Conference item
Rights
2018 Copyright held by the owners/author(s). This is the authors' version of the work. The copy of record is available through the ACM with DOI: https://doi.org/10.1145/3173574.3174107
Description
Funding: SurfNet (NSERC, Canada), EPSRC (Small Equipment Grant).
Collections
  • Computer Science Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/12706

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