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Force-feedback improves performance for steering and combined steering-targeting tasks
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
The Hague, The Netherlands
Pages: 423 - 429  
Year of Publication: 2000
ISBN:1-58113-216-6
Authors
Jack Tigh Dennerlein  Harvard University, 665 Huntington Ave, Boston, MA
David B. Martin  Harvard University & Dartmouth College, Hanover, NH
Christopher Hasser  Stanford University & Immersion Corporation, 2158 Paragon Drive, San Jose, CA
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 83,   Citation Count: 19
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ABSTRACT

The introduction of a force-feedback mouse, which provides high fidelity tactile cues via force output, may represent a long-awaited technological breakthrough in pointing device designs. However, there have been few studies examining the benefits of force-feedback for the desktop computer human interface. Ten adults performed eighty steering tasks, where the participants moved the cursor through a small tunnel with varying indices of difficulty using a conventional and force-feedback mouse. For the force-feedback condition, the mouse displayed force that pulled the cursor to the center of the tunnel. The tasks required both horizontal and vertical screen movements of the cursor. Movement times were on average 52 percent faster during the force-feedback condition when compared to the conventional mouse. Furthermore, for the conventional mouse vertical movements required more time to complete than horizontal screen movements. Another ten adults completed a combined steering and targeting task, where the participants navigated through a tunnel and then clicked a small box at the end of the tunnel. Again, force-feedback improved times to complete the task. Although movement times were slower than the pure steering task, the steering index of difficulty dominated the steering-targeting relationship. These results further support that human computer interfaces benefit from the additional sensory input of tactile cues to the human user.


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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Akamatsu M, Sigeru S, MacKenzie IS. Multimodal Mouse: A mouse-type device with tactile and force display. Presence, 3(1): 73-80, 1994.
 
3
American National Standards Institute (ANSI) for Human Factors Engineering of Visual Display Terminal Workstations. Standard No. 100-1988. Human Factors Society, Santa Monica, California, 1988.
 
4
Armstrong TJ, Martin BJ, Franzblau A, Rempel DM, Johnson PW: Mouse input devices and work-related upper limb disorders. Working With Display Lr~its 94, Elsevier Science, 375-380, 1995
 
5
Dennerlein JT, Yang M, Perceived Musculoskeletal Loading during Use of A Force-Feedback Computer Mouse, Proceedings of the Human Factors and Ergonomics Conference, Houston, 1999.
 
6
Eberhardt S, Neverov M, West T, Sanders C. Force Reflection for WIMPs: A Button Acquisition Experiment, Sixth Annual Symposium on Haptic Interfaces, International Mechanical Engineer'ing Congress and Exposition, Dallas Texas, 1997.
 
7
Fitts PM. The Information Capacity of Human Motor Systems in Controlling the Amplitude of a Movement, Journal of Experimental Psychology, 47: 381-391, 1954.
 
8
Hasser C, Goldenberg A, Martin K, Rosenberg L. User performance in a GUI pointing task with a lowcost force-feedback computer mouse. Seventh Annual Symposium on Haptic interfaces, International Mechanical Engineering Congress and Exposition, Anaheim, CA, 1998.
 
9
Johnson PW, Dropkin J, Hewes J, Rempel D: Office ergonomics: motion analysis of computer mouse usage. In: Proceedings of the American Industrial Hygiene Conference and Exposition, Fairfax, VA: AIHA 12-13, 1993.
 
10
Keamey RE, Stein RB Parameswaran L: Identification of Intrinsic and Reflex Contributions to Human Ankle Stiffness Dynamics, 1EEE Trans. Biomed. Eng., 44(6): 493-504, 1997.
 
11
Rosenberg L. Virtual Fixtures, Ph.D. Dissertation Stanford University, 1994.
 
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CITED BY  19

Collaborative Colleagues:
Jack Tigh Dennerlein: colleagues
David B. Martin: colleagues
Christopher Hasser: colleagues