The vocabulary problem in human-system communication

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The vocabulary problem in human-system communication

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Communications of the ACM archive
Volume 30 , Issue 11 (November 1987) table of contents

Pages: 964 - 971

Year of Publication: 1987

ISSN:0001-0782

Authors

G. W. Furnas	Bell Communications Research, Inc., Morristown, NJ
T. K. Landauer	Bell Communications Research, Inc., Morristown, NJ
L. M. Gomez	Bell Communications Research, Inc., Morristown, NJ
S. T. Dumais	Bell Communications Research, Inc., Morristown, NJ

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ACM New York, NY, USA

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Downloads (6 Weeks): 105, Downloads (12 Months): 388, Citation Count: 178

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abstract references cited by index terms review collaborative colleagues

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ABSTRACT

In almost all computer applications, users must enter correct words for the desired objects or actions. For success without extensive training, or in first-tries for new targets, the system must recognize terms that will be chosen spontaneously. We studied spontaneous word choice for objects in five application-related domains, and found the variability to be surprisingly large. In every case two people favored the same term with probability <0.20. Simulations show how this fundamental property of language limits the success of various design methodologies for vocabulary-driven interaction. For example, the popular approach in which access is via one designer's favorite single word will result in 80-90 percent failure rates in many common situations. An optimal strategy, unlimited aliasing, is derived and shown to be capable of several-fold improvements.

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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INDEX TERMS

Primary Classification:
H. Information Systems
H.1 MODELS AND PRINCIPLES
H.1.2 User/Machine Systems
Subjects: Human factors

General Terms:
Human Factors, Languages

REVIEW

"Richard S. Marcus : Reviewer"

.abstract In almost all computer applications, users must enter correct words for the desired objects or actions. For success without extensive training, or in first-tries for new targets, the system must recognize terms that will be chosen spon more...

Collaborative Colleagues:

G. W. Furnas: colleagues

T. K. Landauer: colleagues

L. M. Gomez: colleagues

S. T. Dumais: colleagues

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