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Survey on High-level Search Activities Based on the Stratagem Level in Digital Libraries

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Abstract

High-level search activities for Digital Libraries (DLs) introduced by Fuhr et al. [8] go beyond basic query searches because they include targeted and structured searches like e.g. a journal run or citation searching. In this paper, we investigate if and how typical high-level search activities are really used in current DLs. We conducted an online survey with 129 participating researchers from different fields of study that aims at getting a quantitative view on the usage of high level search activities in DLs. Although our results indicate the usefulness of high-level search activities, they are not well supported by modern DLs with regards to the users’ state of search, e.g. looking at a relevant or not relevant document. Furthermore, we identified differences in the information seeking behavior across the respondents. Respondents with a higher academic degree significantly considered journals and conference proceedings as more useful than respondents with a lower academic degree.

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Notes

  1. 1.

    The central tendency of the Likert scales is presented by using median and mode values throughout the paper due to the ordinality of the scales [11].

  2. 2.

    sowiport.gesis.org.

References

  1. Bates, M.J.: The design of browsing and berrypicking techniques for the online search interface. Online Rev. 13(5), 407–424 (1989)

    Article  Google Scholar 

  2. Bates, M.J.: Where should the person stop and the information search interface start? Inf. Process. Manag. 26(5), 575–591 (1990)

    Article  MathSciNet  Google Scholar 

  3. Bhavnani, S.K., Bichakjian, C.K., Johnson, T.M., Little, R.J., Peck, F.A., Schwartz, J.L., Strecher, V.J.: Strategy hubs: domain portals to help find comprehensive information. JASIST 57(1), 4–24 (2006)

    Article  Google Scholar 

  4. Brajnik, G., Mizzaro, S., Tasso, C., Venuti, F.: Strategic help in user interfaces for information retrieval. JASIST 53(5), 343–358 (2002)

    Article  Google Scholar 

  5. Carevic, Z., Mayr, P.: Extending search facilities via bibliometric-enhanced stratagems. In: Proceedings of the 2nd Workshop on Bibliometric-enhanced Information Retrieval, pp. 40–46. CEUR-WS.org, Vienna (2015)

    Google Scholar 

  6. Cole, M., Liu, J., Belkin, N., Bierig, R., Gwizdka, J., Liu, C., Zhang, J., Zhang, X.: Usefulness as the criterion for evaluation of interactive information retrieval. In: Proceedings of the Third Human Computer Information Retrieval Workshop, Washington, DC (2009)

    Google Scholar 

  7. Fields, B., Keith, S., Blandford, A.: Designing for expert information finding strategies. In: Fincher, S., Markopoulos, P., Moore, D., Ruddle, R. (eds.) People and Computers XVIII Design for Life, pp. 89–102. Springer, London (2005)

    Chapter  Google Scholar 

  8. Fuhr, N., Klas, C.-P., Schaefer, A., Mutschke, P.: Daffodil: an integrated desktop for supporting high-level search activities in federated digital libraries. In: Agosti, M., Thanos, C. (eds.) ECDL 2002. LNCS, vol. 2458, pp. 597–612. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  9. Hienert, D., Mutschke, P.: A usefulness-based approach for measuring the local and global effect of IIR services. In: Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval, CHIIR 2016, pp. 153–162. ACM, New York (2016)

    Google Scholar 

  10. Hienert, D., Schaer, P., Schaible, J., Mayr, P.: A novel combined term suggestion service for domain-specific digital libraries. In: Gradmann, S., Borri, F., Meghini, C., Schuldt, H. (eds.) TPDL 2011. LNCS, vol. 6966, pp. 192–203. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  11. Jamieson, S.: Likert scales: how to (ab) use them. Med. Educ. 38(12), 1217–1218 (2004)

    Article  Google Scholar 

  12. Joo, S., Xie, I.: How do users’ search tactic selections influence search outputs in exploratory search tasks? In: Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 397–398. ACM, New York (2013)

    Google Scholar 

  13. Kriewel, S., Fuhr, N.: Adaptive search suggestions for digital libraries. In: Goh, D.H.-L., Cao, T.H., Sølvberg, I.T., Rasmussen, E. (eds.) ICADL 2007. LNCS, vol. 4822, pp. 220–229. Springer, Heidelberg (2007)

    Google Scholar 

  14. O’Day, V.L., Jeffries, R.: Orienting in an information landscape: how information seekers get from here to there. In: Proceedings of the INTERCHI 1993, pp. 438–445. IOS Press (1993)

    Google Scholar 

  15. Stelmaszewska, H., Blandford, A., Buchanan, G.: Designing to change users’ information seeking behaviour: a case study. In: Adaptable and Adaptive Hypermedia Systems. Idea Group (2005)

    Google Scholar 

  16. Wilson, M.L., Schraefel, M.C.: Bridging the gap: using IR models for evaluating exploratory search interfaces. In: SIGCHI 2007 Workshop on Exploratory Search and HCI (2007), 28 April 2007

    Google Scholar 

  17. Xie, H.I.: Patterns between interactive intentions and information-seeking strategies. Inf. Process. Manag. 38(1), 55–77 (2002)

    Article  MATH  Google Scholar 

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Acknowledgment

We thank the Interactive Information Retrieval group at GESIS for discussions concerning previous versions of this paper. This work was partly funded by the DFG, grant no. MA 3964/5-1; the AMUR project at GESIS.

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Correspondence to Zeljko Carevic .

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Carevic, Z., Mayr, P. (2016). Survey on High-level Search Activities Based on the Stratagem Level in Digital Libraries. In: Fuhr, N., Kovács, L., Risse, T., Nejdl, W. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2016. Lecture Notes in Computer Science(), vol 9819. Springer, Cham. https://doi.org/10.1007/978-3-319-43997-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-43997-6_5

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