Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/strategic-help-in-user-interfaces-for-information-retrieval-tO7DJ40e98
References (46)
-
W. Hersh, A. Turpin, Susan Price, Dale Kraemer, Daniel Olson, B. Chan, Lynetta Sacherek (2001)
Challenging conventional assumptions of automated information retrieval with real users: Boolean searching and batch retrieval evaluationsInf. Process. Manag., 37
-
N. Belkin, P. Marchetti, Colleen Cool (1993)
Braque: Design of an Interface to Support User Interaction in Information RetrievalInf. Process. Manag., 29
-
M. Porter (1997)
An algorithm for suffix strippingProgram, 40
-
M. Twidale, D. Nichols, Gareth Smith, J. Trevor (1995)
Supporting collaborative learning during information searching -
(1997)
Evaluation light. In Proceedings of the second MIRA workshop (pp. 53–56) -
Thomas Wilson (1999)
Models in information behaviour researchJ. Documentation, 55
-
M. Bates (1990)
Where should the person stop and the information search interface start?Inf. Process. Manag., 26
-
M. Bates (1989)
The design of browsing and berrypicking techniques for the online search interfaceOnline Review, 13(5)
-
Michael Sullivan, C. Borgman, Dorothy Wippern (1989)
End-users, mediated searches, and front-end assistance programs on Dialog: A comparison of learning, performance, and satisfactionJ. Am. Soc. Inf. Sci., 41
-
A. Sutcliffe, M. Ennis, S. Watkinson (2000)
Empirical studies of end-user information searchingJ. Am. Soc. Inf. Sci., 51
-
Victoria Manglano, M. Beaulieu, S. Robertson (1998)
Evaluation of Interfaces for IRS: Modelling End-User Searching Behaviour -
D. Ellis, Deborah Cox, Katherine Hall (1993)
A Comparison of the Information seeking Patterns of researchers in the Physical and Social SciencesJ. Documentation, 49
-
N. Belkin, Colleen Cool, A. Stein, U. Thiel (1995)
Cases, scripts, and information-seeking strategies: On the design of interactive information retrieval systemsExpert Systems With Applications, 9
-
E. Wenger (1987)
Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge -
J. Greenberg (2001)
Optimal query expansion (QE) processing methods with semantically encoded structured thesauri terminologyJ. Assoc. Inf. Sci. Technol., 52
-
Alice Vollaro, D. Hawkins (1986)
End-user searching in a large library network: a case study of patent attorneysOnline, 10
-
G. Brajnik, Stefano Mizzaro, C. Tasso (1996)
Evaluating user interfaces to information retrieval systems: a case study on user support -
R. Baeza Yates, B. Ribeiro Neto (1999)
Modern Information retrievalOnline Review
-
H. Xie (2000)
Shifts of interactive intentions and information-seeking strategies in interactive information retrievalJ. Am. Soc. Inf. Sci., 51
-
W. Buxton (1988)
Human-Computer Interaction -
G. Guida, C. Tasso (1994)
Design and Development of Knowledge-Based Systems: From Life Cycle to Methodology -
C. Meadow, P. Cochrane (1981)
Basics of online searching -
J. Greenberg (2001)
Automatic query expansion via lexical-semantic relationshipsJ. Assoc. Inf. Sci. Technol., 52
-
(1999)
UM99 User Modeling -
R. Palmer (1980)
Information retrieval systems: Characteristics, testing and evaluation: 2nd Edn. F.W. Lancaster. John Wiley & Sons, New York. 1979. 381 p. ISBN 0-471-04673-6. $19.95.Information Processing and Management, 16
-
C. Fenichel (1981)
Online searching: Measures that discriminate among users with different types of experiencesJ. Am. Soc. Inf. Sci., 32
-
D. Ellis (1989)
A behavioural model for information retrieval system designJournal of Information Science, 15
-
G. Marchionini (1995)
Information Seeking in Electronic Environments -
Rila Mandala, T. Tokunaga, Hozumi Tanaka (2000)
Query expansion using heterogeneous thesauriInf. Process. Manag., 36
-
A. Dix, Janet Finley, G. Abowd, R. Beale (1998)
Human-computer interaction (2nd ed.) -
N. Belkin (1996)
Intelligent Information Retrieval: Whose Intelligence? -
N. Belkin, Colleen Cool, D. Kelly, Shin-jeng Lin, Soyeon Park, Jose Carballo, C. Sikora (2001)
Iterative exploration, design and evaluation of support for query reformulation in interactive information retrievalInf. Process. Manag., 37
-
M. Kingwell (2002)
Storage and Retrieval -
B. Bailey, J. Konstan, J. Carlis (2000)
Adjusting Windows: Balancing Information Awareness with Intrusion -
Hsinchun Chen, V. Dhar (1991)
Cognitive process as a basis for intelligent retrieval systems designInf. Process. Manag., 27
-
Um, J. Kay (1999)
UM99 user modeling : proceedings of the Seventh International Conference, Banff, Canada, June 20-24, 1999 -
E. Horvitz, J. Breese, D. Heckerman, D. Hovel, Koos Rommelse (1998)
The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users -
Pia Borlund, P. Ingwersen (1997)
The development of a method for the evaluation of interactive information retrieval systemsJ. Documentation, 53
-
(1980)
Anomalous states of knowledge as a basis for information retrieval -
F. Lancaster (1968)
Information retrieval systems; characteristics, testing, and evaluation -
G. Marchionini (1989)
Information-seeking strategies of novices using a full-text electronic encyclopediaJASIS, 40
-
D. Ellis, Merete Haugan (1997)
Modelling the information seeking patterns of engineers and research scientists in an industrial environmentJ. Documentation, 53
-
R. Larson (1991)
The decline of subject searching: Long-term trends and patterns of index use in an online catalogJ. Am. Soc. Inf. Sci., 42
-
D. Ellis (1989)
A Behavioural Approach to Information Retrieval System DesignJ. Documentation, 45
-
Ingrid Hsieh-Yee (1993)
Effects of Search Experience and Subject Knowledge on the Search Tactics of Novice and Experienced SearchersJ. Am. Soc. Inf. Sci., 44
-
S. Robertson, M. Hancock-Beaulieu (1992)
On the Evaluation of IR SystemsInf. Process. Manag., 28
- Publisher
- Wiley
- Copyright
- Copyright © 2002 Wiley Subscription Services, Inc., A Wiley Company
- ISSN
- 2330-1635
- eISSN
- 2330-1643
- DOI
- 10.1002/asi.10035
- Publisher site
- See Article on Publisher Site
Abstract
Although no unified definition of the concept of search strategy in Information Retrieval (IR) exists so far, its importance is manifest: nonexpert users, directly interacting with an IR system, apply a limited portfolio of simple actions; they do not know how to react in critical situations; and they often do not even realize that their difficulties are due to strategic problems. A user interface to an IR system should therefore provide some strategic help, focusing user's attention on strategic issues and providing tools to generate better strategies. Because neither the user nor the system can autonomously solve the information problem, but they complement each other, we propose a collaborative coaching approach, in which the two partners cooperate: the user retains the control of the session and the system provides suggestions. The effectiveness of the approach is demonstrated by a conceptual analysis, a prototype knowledge‐based system named FIRE, and its evaluation through informal laboratory experiments.
Journal
Journal of the Association for Information Science and Technology – Wiley
Published: Jan 1, 2002