Cited by 1,504Usability and User Interface DesignInformation Retrieval and Search BehaviorNatural Language Processing Techniques

The vocabulary problem in human-system communication

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Furnas, G. W., Landauer, T. K., Gomez, L. M., Dumais, S. T.·1987·Communications of the ACM

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.

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  • Huge variations in designers' terminology across numerous application domains are an inherent property of the English language.

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Research works printed but not linked: 4

  1. Gomez. L.M.. and Lochbaum, CC. People can retrieve more objects with enriched key-word vocabularies. But is there a human per- formance cost? In B. Shackel (Ed.) Human-Computer Inleractm- Interact '84, North-Holland. Amsterdam. 257-261.
  2. Reisner. P. Construction of a growing thesaurus by conversational interaction in a man-machine system. Proceedings of the American Dmmw~fafim Insfifute. 26th Annual Meeting. Chicago, Ill. October 1963.
  3. Whalen, T.. and Latremouille. S. The effectiveness of a tree- structured index when the existence of information is uncertain. Tcledort Behavioral Research 2: The Drsip of Vidrotex Trre Itldiccs. Ottawa, Canada: Department of Communications. (May 1981). pp. 3-12.
  4. Zipf, G.K. Hunra~l Behavior wd the Prirmple of Least Effort. AII Irtfnr- durtuw fn Human Emlogy. Addison-Wesley. Reading. Mass.. 1949. CR Categories and Subject Descriptors: H.l.2 [Models and Princi- ples]: User/Machine Systems-hunfatr factors. huntarl i@wrmtim pnm'ss- iq; H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing-frldrxiq Methods. Lirlpisfir Pror?ssiq. Thrsouruscs

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Authors
Furnas, G. W., Landauer, T. K., Gomez, L. M., & Dumais, S. T.
Affiliations
Bell Communications Research, Inc., Morristown, NJ
Venue
Communications of the ACM
Published
1987-11
Volume
30
Issue
11
Pages
964-971
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W1984565341
Cited by
1,504
References
8
Citations by year
2026: 31 · 2025: 65 · 2024: 21 · 2023: 31 · 2022: 34 · 2021: 43 · 2020: 31 · 2019: 43 · 2018: 54 · 2017: 41 · 2016: 37 · 2015: 51 · 2014: 60 · 2013: 53 · 2012: 64
FWCI
11.53
Type
journal article
Language
en
Open access
Locations
Communications of the ACM (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
vocabulary, object naming, natural language interfaces, design methodology, failure rate, linguistic variability

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