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Towards task models for embedded information retrieval

Authors:

H. Ulrich Hoppe,

Franz SchieleAuthors Info & Claims

CHI '92: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 173 - 180

https://doi.org/10.1145/142750.142785

Published: 01 June 1992 Publication History

Abstract

This paper investigates to what extent task-oriented user support based on plan recognition is feasible in a highly situation-driven domain like information retrieval (IR) and discusses requirements for appropriate task models. It argues that information seeking tasks which are embedded in some higher-level external task context (e.g. travel planning) often exhibit procedural dependences; that these dependences are mainly due to external task; and that they can be exploited for inferring the users' goals and plans. While there is a clear need for task models in IR to account for situational determinants of user behaviour, what is required are hybrid models that take account of both is “planned” and “situated” aspects. Empirical evidence for the points made is reported from a probabilistic analysis of retrieval sessions with a fact database and from experience with plan-based and state-based methods for user support in an experimental travel planning system

References

[1]

Bates, M.J. (1979). Information search tactics. Journal of the American Society for Information Science, Vol. 30, pp. 205-214.]]

[2]

Card, S.K., Moran, T.P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Hillsdale (NJ): Lawi'ence Erlbaum.]]

Digital Library

[3]

Desmarais, M.C., Larochelle, S., & Giroux, L. (1987). The diagnosis of user strategies. Proceedings of the 2nd IFIP Conference on Human-Computer Interaction, Stuttgart (FRG), August 1987, pp. 185-189.]]

[4]

esmarais, M.C., Giroux, L., & Larochelle, S. (1991). Plan recognition in HCI: the parsing of user actions. In" Tauber, M.J. & Ackermann, D. (Eds.). Mental Models and Human-Computer Interaction 2. Amsterdam: Elsevier, pp. 291-311.]]

Digital Library

[5]

Fidel, R. (1985). Moves in online searching. Online Review, Vol. 9, pp. 61-74.]]

[6]

Fischer, G.,Lemke, A., & Schwab, T. (1985). Knowledge-based help systems. Proceedings of the ACM SIG- CHI Conference on Human Factors in Computing Systems, San Francisco (CA), April 1985, pp. 161-167.]]

Digital Library

[7]

Fischer, G., Lemke, A., & Mastaglio, T. (1990). Using critics to empower users. Proceedings of the ACM SIG- CHI Conference on Human Factors in Computing Systems, Seattle (Washington), April 1990, pp. 337-347.]]

Digital Library

[8]

Frederiksen,N., Glaser, R.,Lesgold, A., & Shafto, M.G. (Eds.) (1990). Diagnostic Monitoring of Skill and Knowledge Acquisition. I-/illsdale: Lawrence Erlbaum.]]

[9]

Green, T.R.G., Schiele, F., & Payne, S.J. (1988). Formalisable models of user knowledge in Human-Computer Interaction. In: van der Veer, G., Green, T.R.G., Hoc, j.-M., & Murray, D. (Eds.). Working with Computers: Theory versus Outcome. London: Academic Press.]]

[10]

Hecking, M. (1987). How to use plan recognition in order to improve the abilities of the intelligent help system SINIX Consultant. Proceedings of the 2nd IFIP Conference on Human-Computer Interaction, Stuttgart (FRG), August 1987, pp. 657-662.]]

[11]

Hoppe, H.U. (1988). Task-oriented parsing - a diagnostic method to be used by adaptive systems. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Washington D.C., May 1988, pp. 241-247.]]

Digital Library

[12]

Hoppe, H.U., Ammersbach, K., Lutes-Schaab, B., & ZinBmeister, G. (1990). EXPRESS: an experimental interface for factual Information Retrieval. Proceedings of the 13th ACM SIGIR Conference on Research and Development in Information Retrieval, Brussels (Belgium), September 1990, pp. 63-81.]]

Digital Library

[13]

Howes, A. & Payne, S.J. (1990). Display-based competence: towards user models for menu-driven interfaces. Int. J. Man-Machine Studies, Vol. 33, pp. 637-655.]]

Digital Library

[14]

Kautz, H.A. (1991). A Formal Theory of Plan Recognition and its Implementation. In: J.A. Alien, H.A. Kautz, R.N. Pelavin & J.D. Tenenberg. Reasoning About Plans. San Mateo: Morgan Kaufmann.]]

Digital Library

[15]

Kieras, D.E: & Poison, P.G. (1985). An approach to the formal analysis of user complexity. Int. J. Man-Machine Studies, Vol. 22, pp. 365-394.]]

[16]

Kobsa, A. & Wahlster, W. (Eds.) (1989). User Models in Dialog Systems. Berlin: Springer.]]

Digital Library

[17]

Larkin, J.H. (1989). Display-based problem solving. In: Klahr, D. & Kotovsky, K. (Eds.). Complex Information Processing. Hillsdale: Lawrence Erlbaum. pp. 319-341.]]

[18]

McAlpine, G. & Ingwersen, P. (1989). Integrated Information Retrieval in a knowledge worker support system. Proceedings of the 12th ACM SIGIR International Conference on Research and Development in Information Retrieval. Cambridge (MA), June 1989, pp. 48-57.]]

Digital Library

[19]

McKendree, J. & Zaback, J. (1988). Planning for advising. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Washington D.C., May 1988, pp, 179-183.]]

Digital Library

[20]

Newell, A. (1980). Reasoning, problem solving, and decision processes: The problem space as a fundamental category. In: R. Nickerson (Ed.). Attention and Performance VIII. Hillsdale, NJ.: Lawrence Erlbaum Associates.]]

[21]

Payne, S.J. & Green, T.R.G. (1986). Task-action grammars: a model of the mental representation of task languages. Human-Computer Interaction, Vol. 2, pp. 93-133.]]

Digital Library

[22]

Poison, P.G. & Lewis, C. (1990). Theory-based design for easily learned interfaces. Human-Computer Interaction, Vol. 5, pp. 191-220.]]

[23]

Schiele, F. & Hoppe, H.U. (1990). Inferring task structures from interaction protocols. Proceedings of the 3rd IFIP Conference on Human-Computer Interaction, Cambridge (UK), August 1990, pp. 567-572.]]

Digital Library

[24]

Simon, H. (1969). The Sciences of the Artificial. Cambridge (MA): MIT Press.]]

Digital Library

[25]

Suchman, L. (1987): Plans and Situated Actions. Cambridge (MA): Cambridge University Press.]]

Digital Library

[26]

Vilain, M (1990). Getting serious about parsing plans: a grammatical analysis of plan recognition. Proceedings of the 8th National Conference on Artificial Intelligence, July 1990, Cambridge (MA), pp. 190-197.]]

Digital Library

[27]

Zloof, M.M. (1983). The Query-by-Example concept for user-oriented business systems. In: Sime, M.E. & Coombs, M.J. (Eds.). Designing for Human-Computer Communication. London: Academic Press.]]

Cited By

Shah CWhite RThomas PMitra BSarkar SBelkin N(2023)Taking Search to TaskProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578288(1-13)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578288
Hung PJohnson SKaufman DMendonça E(2008)A multi-level model of information seeking in the clinical domainJournal of Biomedical Informatics10.1016/j.jbi.2007.09.00541:2(357-370)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1016/j.jbi.2007.09.005
Hurts KGreef P(2005)Cognitive ergonomics of multi-agent systems: Observations, principles and research issuesHuman-Computer Interaction10.1007/3-540-58648-2_35(164-180)Online publication date: 2-Jun-2005
https://doi.org/10.1007/3-540-58648-2_35
Show More Cited By

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Towards task models for embedded information retrieval

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cover image ACM Conferences

CHI '92: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

June 1992

713 pages

ISBN:0897915135

DOI:10.1145/142750

Editors:
Penny Bauersfeld
IBM Almaden Research Center, San Jose, CA
,
John Bennett
Tektronix, Inc. Beverton, OR
,
Gene Lynch

Copyright © 1992 ACM.

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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Published: 01 June 1992

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CHI92: Conference on Human Factors in Computing

May 3 - 7, 1992

California, Monterey, USA

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CHI '92 Paper Acceptance Rate 67 of 216 submissions, 31%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Shah CWhite RThomas PMitra BSarkar SBelkin N(2023)Taking Search to TaskProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578288(1-13)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578288
Hung PJohnson SKaufman DMendonça E(2008)A multi-level model of information seeking in the clinical domainJournal of Biomedical Informatics10.1016/j.jbi.2007.09.00541:2(357-370)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1016/j.jbi.2007.09.005
Hurts KGreef P(2005)Cognitive ergonomics of multi-agent systems: Observations, principles and research issuesHuman-Computer Interaction10.1007/3-540-58648-2_35(164-180)Online publication date: 2-Jun-2005
https://doi.org/10.1007/3-540-58648-2_35
Hoppe HZhao J(2005)C-TORI: An interface for cooperative database retrievalDatabase and Expert Systems Applications10.1007/3-540-58435-8_175(103-113)Online publication date: 3-Jun-2005
https://doi.org/10.1007/3-540-58435-8_175
Busse RMüller ANeuhold E(2005)Information handling — A challenge for databases and expert systemsDatabase and Expert Systems Applications10.1007/3-540-57234-1_1(1-23)Online publication date: 27-May-2005
https://doi.org/10.1007/3-540-57234-1_1
Spink ASollenberger M(2004)Elicitation purposes and tasks during mediated information searchJournal of Documentation10.1108/0022041041051666260:1(77-91)Online publication date: Feb-2004
https://doi.org/10.1108/00220410410516662
Xie H(2002)Patterns between interactive intentions and information-seeking strategiesInformation Processing and Management: an International Journal10.1016/S0306-4573(01)00018-838:1(55-77)Online publication date: 1-Jan-2002
https://dl.acm.org/doi/10.1016/S0306-4573%2801%2900018-8
Sanderson PFisher C(1994)Exploratory sequential data analysisHuman-Computer Interaction10.1207/s15327051hci0903%264_29:4(251-317)Online publication date: 1-Sep-1994
https://dl.acm.org/doi/10.1207/s15327051hci0903%25264_2
Chen Z(1993)From participatory design to participating problem solvingAI & Society10.1007/BF019018197:3(238-247)Online publication date: 21-Jul-1993
https://dl.acm.org/doi/10.1007/BF01901819

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