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Designing an information retrieval interface based on user characteristics

Published: 05 June 1985 Publication History

Abstract

With the increasing number of information retrieval systems and databases available and the increasing demand of end users to utilize the systems, a need exists for improved interfaces and improved training mechanisms. This paper reports on a project to develop an integrated online instruction and assistance system to be used as a “front end” to the U.S. Department of Energy's RECON retrieval system. The conceptual framework for the interface design is based on individual characteristics of its current and prospective users, predominantly scientists conducting energy research. We are building a prototype based on information gained from interviews with scientists using the system (either directly or through a search intermediary) and interviews with search intermediaries. The paper reports on research in progress, including the results of the interviews and the preliminary design of the interface. The conference presentation will include a fuller description of the interface than can be specified here.

References

[1]
Williams, Martha E.; Lannom, L.; Robins, C., eds. & comps. Computer-Readable Databases: A Directory and Data Sourcebook. Chicago, IL: American Library Association, 1984.
[2]
Faibisoff, Sylvia G.; Hurych, Jitka. Is There a Future for the End User in Online Bibliographic Searching? Special Libraries, 72:4 (1981), 347-355.
[3]
Meadow, Charles T. Online Searching and Computer Programming: Some Behavioral Similarities (Or .. Why End Users will Eventually Take Over the Terminal). Online, 3:1 (i979a), 49- 52.
[4]
Meadow, Charles T. Letter to the Editor {Response to an editorial commenting on his previous article}. Database, 6:4 (1983), 49-50.
[5]
Sewall, Winifred; Bevan, Alice. Nonmediated Use of MEDLINE and TOXLINE by Pathologists and Pharmacists. Bulletin of the Medical Library Association, 64:4 (1976), 382-391.
[6]
Thompson, Benna Brodsky. Future Direct Users of Sci-Tech Electronic Databases {Guest Editorial}. Database, 6:2 (1983), 6-9.
[7]
Neway, Julie M. The Role of the Information Specialist in Academic Research. Online Review, 6:6 (1982), 527-535.
[8]
Meadow, Charles T. The Computer as a Search Intermediary. Online, 3:3 (1979b), 54-59.
[9]
Meadow, Charles T.; Hewett, Thomas T.; Aversa, Elizabeth. A Computer Intermediary for Interactive Database Searching, Part I, Design. Journal of the American Society for Information Science, 33:5 (1982), 325-332, and Part II, Evaluation. 33:6 (1982), 357-64.
[10]
Meadow, Charles T. On-line Searching and Computer Programming: Some Behavioral Similarities, Online, 3:1 (1979), 49- 52.
[11]
Meadow, Charles T.; et al. IIDA Final Report, NSF Grant No. DSI 77-26524. Philadelphia: Drexel University School of Library and Information Science and Franklin Institute Research Laboratory, June 1980.
[12]
Meadow, Charles T.; et al. Individualized Instruction for Data Access (IIDA), Final Design Report. Philadelphia: Drexel University Graduate School of Library Science and Franklin Institute Research Laboratory, July 1977.
[13]
Marcus, Richard S. An Automated Expert Assistant for Information Retrieval. Proceedings of the 44th Annual Meeting of the American Society for Information Science, 18. White Plains, NY: Knowledge Industry Publications, 1981, 270-273.
[14]
Marcus, Richard S.; Reintjes, J. Francis. A Translating Computer Interface for End-User Operation of Heterogeneous Retrieval systems: Part I, Design; Part II, Evaluations. Journal of the American Society for Information Science, 32:4 (1981), 287-303, 304-317.
[15]
Borgman, Christine L. The User's Mental Model of an Information Retrieval System: Effects on Performance. Ph.D. Dissertation, Stanford University, 1984.
[16]
Egan, Dennis E.; Gomez, Louis H. Assaying, Isolating and Accommodating Individual Differences in Learning a Complex Skill. In Ronna F. Dillon, ed., Individual Differences in_ Cognition. New York, NY: Academic Press, 1984.
[17]
Paisley, William. Information and Work. In Brenda Dervin & Melvin Voigt, Eds., Progress i__n the Communication Sciences, Vol. 2. Norwood, NJ: Ablex, 1980, 113-165.
[18]
Fenichel, Carol H. Online Searching: Measures that Discriminate Among Users with Different Types of Experience. Journal of the American Society for Information Science, 32:1 (1981), 23-32.
[19]
Crawford, Susan. Information Needs and Uses. In Williams, Martha E., ed. Annual Review of Information Science and Technology, 13. White Plains, NY: Knowledge Industry Publications, 1978.
[20]
Hagstrom, Warren. The Scientific Community. New York, NY: Basic Books, 1965.
[21]
Martyn, Jo Information Needs and Uses. In Williams, Martha E., ed. Annual Review of Information Science and Technology, 9. White Plains, NY: Knowledge Industry Publications, 1974.
[22]
Menzel, H. The Flow of Information Among Scientists: Problems~ OpDortunities r and Research Questions. New York: Columbia University, Bureau of Applied Social Research, 1958.
[23]
Ackoff, Ro Management Misinformation Systems. Management Science, 14:B (1967), 147-156.
[24]
Mintzberg, Henry. The Nature of Managerial Work. New York, NY: Harper & Row, 1973.
[25]
Mick, Colin; Lindsay, George; Callahan, Daniel. Toward Usable User Studies. Journal of the American Society for Information Science, 31 (1980), 347-356.
[26]
Jahoda, G.; Hutchins, R.D.; Galford, R.R. Characteristics and Use of Personal Indexes Maintained by Scientists and Engineers in One University. American Documentation, 17 (1966), 71-75.
[27]
Malone, Thomas W. How Do People Organize Their Desks? Implications for the Design of Office Information Systems. Palo Alto, CA: Xerox Palo Alto Research Center, 1982.
[28]
Oldroyd, Betty K.; Citroen, Charles L. A Study of Strategies Used in Online Searching. Online Review, 1:4 (1977), 295- 310.
[29]
Fidel, Raya. Online Searching Styles: A Case-Study-Based Model of Searching Behavior. Journal of the American Society for Information Science, 35: 4 (1984), 211-221.

Cited By

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  • (2006)Effective reformulation of Boolean queries with concept latticesFlexible Query Answering Systems10.1007/BFb0055993(83-94)Online publication date: 31-May-2006
  • (1988)Implementing a distributed expert-based information retrieval systemUser-Oriented Content-Based Text and Image Handling10.5555/3170668.3170675(708-726)Online publication date: 21-Mar-1988
  1. Designing an information retrieval interface based on user characteristics

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    cover image ACM Conferences
    SIGIR '85: Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
    June 1985
    288 pages
    ISBN:0897911598
    DOI:10.1145/253495
    • Chairman:
    • Jean M. Tague
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 05 June 1985

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    View all
    • (2006)Effective reformulation of Boolean queries with concept latticesFlexible Query Answering Systems10.1007/BFb0055993(83-94)Online publication date: 31-May-2006
    • (1988)Implementing a distributed expert-based information retrieval systemUser-Oriented Content-Based Text and Image Handling10.5555/3170668.3170675(708-726)Online publication date: 21-Mar-1988

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