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Reaching for objects in VR displays: lag and frame rate
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Source ACM Transactions on Computer-Human Interaction (TOCHI) archive
Volume 1 ,  Issue 4  (December 1994) table of contents
Pages: 331 - 356  
Year of Publication: 1994
ISSN:1073-0516
Authors
Colin Ware  Univ. of New Brunswick, Fredericton, N.B., Canada
Ravin Balakrishnan  Univ. of New Brunswick, Fredericton, N.B., Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

This article reports the results from three experimental studies of reaching behavior in a head-coupled stereo display system with a hand-tracking subsystem for object selection. It is found that lag in the head-tracking system is relatively unimportant in predicting performance, whereas lag in the hand-tracking system is critical. The effect of hand lag can be modeled by means of a variation on Fitts' Law with the measured system lag introduced as a multiplicative variable to the Fitts' Law index of difficulty. This means that relatively small lags can cause considerable degradation in performance if the targets are small. Another finding is that errors are higher for movement in and out of the screen, as compared to movements in the plane of the screen, and there is a small (10%) time penalty for movement in the Z direction in all three experiments. Low frame rates cause a degradation in performance; however, this can be attributed to the lag which is caused by low frame rates, particularly if double buffering is used combined with early sampling of the hand-tracking 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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CARLETON, L. G. 1981. Processing visual feedback for movement control. J. Exp. Psychol. Hum. Percep. Perf. 7, 5, 1019 1030.
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FITTS, P. M. 1954. The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 6, 381-381.
 
6
KEELE, S. W. AND POSNER, M.I. 1968. Processing visual feedback in rapid movements. J. Exp. Psychol. 77, 1, 155-158.
7
 
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MACKENZIE, I.S. 1992. Fitts' Law as a research and design tool in human-computer interaction. Hum. Comput. Interact. 7, 1, 91-139.
9
10
 
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MAYER, D. E., ABRAMS, R. A., KORNBLUM, S., WRIGHT, C. E., AND KEITH SMITH, J. E. 1988. Optimality in human motor performance: Ideal control of rapid aimed movements. Psychol. Rev. 95, 3, 340-370.
12
 
13
OGLE, K.N. 1964. Binocular Vision. Hafner, New York.
 
14
PATTERSON, R. AND MARTIIN, W.L. 1992. Human stereopsis. Hum. Factors 34, 6, 669-692.
15
 
16
 
17
SHERIDAN, T. B. AND FERRELL, W.R. 1963. Remote manipulative control with transmission delay. IEEE Trans. Hum. Factors Elec. 4, 25-29.
 
18
WELFORD, A.T. 1960. Fundamentals of Skill. Methuen, London.
 
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CITED BY  35


REVIEW

"Raphael M. Malyankar : Reviewer"

Ware and Balakrishnan describe a modification of Fitts's law for three-dimensional interaction in a “fish tank” virtual reality system and a set of experiments designed to test the modified version. Fitts's law is extended by inclu  more...

Collaborative Colleagues:
Colin Ware: colleagues
Ravin Balakrishnan: colleagues