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Integrality and separability of input devices
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Source ACM Transactions on Computer-Human Interaction (TOCHI) archive
Volume 1 ,  Issue 1  (March 1994) table of contents
Pages: 3 - 26  
Year of Publication: 1994
ISSN:1073-0516
Authors
Robert J. K. Jacob  Naval Research Laboratory, Washington, D.C.
Linda E. Sibert  Naval Research Laboratory, Washington, D.C.
Daniel C. McFarlane  Naval Research Laboratory, Washington, D.C.
M. Preston Mullen, Jr.  Naval Research Laboratory, Washington, D.C.
Publisher
ACM  New York, NY, USA
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ABSTRACT

Current input device taxonomies and other frameworks typically emphasize the mechanical structure of input devices. We suggest that selecting an appropriate input device for an interactive task requires looking beyond the physical structure of devices to the deeper perceptual structure of the task, the device, and the interrelationship between the perceptual structure of the task and the control properties of the device. We affirm that perception is key to understanding performance of multidimensional input devices on multidimensional tasks. We have therefore extended the theory of processing of percetual structure to graphical interactive tasks and to the control structure of input devices. This allows us to predict task and device combinations that lead to better performance and hypothesize that performance is improved when the perceptual structure of the task matches the control structure of the device. We conducted an experiment in which subjects performed two tasks with different perceptual structures, using two input devices with correspondingly different control structures, a three-dimensional tracker and a mouse. We analyzed both speed and accuracy, as well as the trajectories generated by subjects as they used the unconstrained three-dimensional tracker to perform each task. The result support our hypothesis and confirm the importance of matching the perceptual structure of the task and the control structure of the input device.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  56

Collaborative Colleagues:
Robert J. K. Jacob: colleagues
Linda E. Sibert: colleagues
Daniel C. McFarlane: colleagues
M. Preston Mullen, Jr.: colleagues