Abstract
We are investigating the value of using the concept ‘search transition’ for studying effort invested in information search processes. In this paper we present findings from a comparative study of data collected from client and server side loggings. The purpose is to see what factors of effort can be captured from the two logging methods. The data stems from studies of searchers interaction with an XML information retrieval system. The searchers interaction was simultaneously logged by a screen capturing software and the IR systems logging facility. In order to identify the advantages and disadvantages we have compared the data gathered from a selection of sessions. We believe there is value in identifying the effort investment in a search process, both to evaluate the quality of the search system and to suggest areas of system intervention in the search process, if effort investment can be detected dynamically.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ingwersen, P.: Search Procedures in the Library—Analysed from the Cognitive Point of View. J. Doc. 38, 165–191 (1982)
Fidel, R.: Moves in online searching. Online Inf. Rev. 9, 61–74 (1985)
Bates, M.J.: The design of browsing and berrypicking techniques for the online search interface. Online Inf. Rev. 13, 407–424 (1989)
Silverstein, C., Marais, H., Henzinger, M., Moricz, M.: Analysis of a very large web search engine query log. Sigir Forum 33, 6–12 (1999)
Spink, A., Jansen, B.J.: Web Search: Public Searching on the Web. Springer (2004)
Jansen, B.J., Spink, A.: How are we searching the World Wide Web? A comparison of nine search engine transaction logs. Inf. Process. Manag. 42, 248–263 (2006)
Pharo, N., Järvelin, K.: The SST method: a tool for analysing Web information search processes. Inf. Process. Manag. 40, 633–654 (2004)
Jansen, B.J., Spink, A., Taksa, I. (eds.): Handbook of Research on Web Log Analysis. IGI Global (2008)
Balatsoukas, P., Ruthven, I.: An eye-tracking approach to the analysis of relevance judgments on the Web: The case of Google search engine. J. Am. Soc. Inf. Sci. Technol. 63, 1728–1746 (2012)
Pharo, N., Nordlie, R., Fachry, K.N.: Overview of the INEX 2008 Interactive Track. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2008. LNCS, vol. 5631, pp. 300–313. Springer, Heidelberg (2009)
Morae usability testing software from TechSmith, http://www.techsmith.com/morae.html
Fenichel, C.H.: Online searching: Measures that discriminate among users with different types of experiences. J. Am. Soc. Inf. Sci. 32, 23–32 (1981)
Bronstein, J., Baruchson-Arbib, S.: The application of cost—benefit and least effort theories in studies of information seeking behavior of humanities scholars: the case of Jewish studies scholars in Israel. J. Inf. Sci. 34, 131–144 (2008)
Yuan, W.: End-user searching behavior in information retrieval: A longitudinal study. J. Am. Soc. Inf. Sci. 48, 218–234 (1997)
Thatcher, A.: Web search strategies: The influence of Web experience and task type. Inf. Process. Manag. 44, 1308–1329 (2008)
Lorigo, L., Pan, B., Hembrooke, H., Joachims, T., Granka, L., Gay, G.: The influence of task and gender on search and evaluation behavior using Google. Inf. Process. Manag. 42, 1123–1131 (2006)
Belkin, N.J., Kelly, D., Kim, G., Kim, J.-Y., Lee, H.-J., Muresan, G., Tang, M.-C., Yuan, X.-J., Cool, C.: Query length in interactive information retrieval. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, pp. 205–212. ACM, New York (2003)
Belkin, N.J., Cool, C., Stein, A., Thiel, U.: Cases, scripts, and information-seeking strategies: On the design of interactive information retrieval systems. Expert Syst. Appl. 9, 379–395 (1995)
Ellis, D.: A behavioural approach to information retrieval system design. J. Doc. 45, 171–212 (1989)
Xie, H.: Shifts of interactive intentions and information-seeking strategies in interactive information retrieval. J. Am. Soc. Inf. Sci. 51, 841–857 (2000)
Olah, J.: Shifts between search stages during task-performance in mediated information seeking interaction. Proc. Am. Soc. Inf. Sci. Technol. 42, n/a–n/a (2005)
Kantor, P.B., Nordlie, R.: Models of the Behavior of People Searching the Internet: A Petri Net Approach. Proc. Asis Annu. Meet. 36, 643–650 (1999)
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)
Borlund, P.: Evaluation of interactive information retrieval systems. Abo Akademis Forlag (2000)
Nielsen, J., Landauer, T.K.: A mathematical model of the finding of usability problems. In: Proceedings of the INTERACT 1993 and CHI 1993 Conference on Human Factors in Computing Systems, pp. 206–213. ACM, New York (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pharo, N., Nordlie, R. (2013). Using ‘Search Transitions’ to Study Searchers’ Investment of Effort: Experiences with Client and Server Side Logging. In: Lupu, M., Kanoulas, E., Loizides, F. (eds) Multidisciplinary Information Retrieval. IRFC 2013. Lecture Notes in Computer Science, vol 8201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41057-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-41057-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41056-7
Online ISBN: 978-3-642-41057-4
eBook Packages: Computer ScienceComputer Science (R0)