Interpreting and Leveraging Browser Interaction for Exploratory Search Tasks

Dominic Stange, Michael Kotzyba, Stefan Langer, Andreas Nürnberger

2017

Abstract

In this paper we introduce a novel approach for modeling and interpreting search behavior for exploratory search by using a so called exploration graph. We use an existing methodology of logging and analyzing user interactions with a web browser and add an additional interpretation step that can be used, e. g. to integrate sensemaking or browsing patterns into the log data. We conducted a user study and are able to show that: (a) interaction logs can be interpreted semantically, (b) semantic interpretations lead to a more connected exploration graph, and (c) multiple (even contradicting) interpretations of the same search behavior may exist at the same time. We also show how our theoretical model can be applied in the area of professional search by incorporating insights gained from the model into novel recommendation and machine learning approaches.

References

  1. Ageev, M., Guo, Q., Lagun, D., and Agichtein, E. (2011). Find it if you can: a game for modeling different types of web search success using interaction data. In Proc. of the 34th Int. ACM SIGIR Conf. on R&D in IR, pages 345-354. ACM.
  2. Bates, M. J. (1989). The Design of Browsing and Berrypicking Techniques for the Online Search Interface. Online Inform. Review, 13(5):407-424.
  3. Card, S. K., Pirolli, P., Van Der Wege, M., Morrison, J. B., Reeder, R. W., Schraedley, P. K., and Boshart, J. (2001). Information scent as a driver of web behavior graphs: Results of a protocol analysis method for web usability. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems, CHI 7801, pages 498-505.
  4. Gwizdka, J. and Lopatovska, I. (2009). The role of subjective factors in the information search process. J. Assoc. Inf. Sci. Technol., 60(12):2452-2464.
  5. Hassan, A., Jones, R., and Klinkner, K. L. (2010). Beyond dcg: User behavior as a predictor of a successful search. In Proc. of the 3rd ACM Int. Conf. on Web Search and Data Mining, pages 221-230. ACM.
  6. Knight, S. and Spink, A. (2008). Toward a web search information behavior model. In Web Search, pages 209- 234. Springer.
  7. Marchionini, G. (1997). Information Seeking in Electronic Environments. Number 9. Cambridge university press.
  8. Marchionini, G. (2006). Exploratory search: from finding to understanding. Commun. ACM, 49(4):41-46.
  9. Nürnberger, A., Stange, D., and Kotzyba, M. (2015). Professional collaborative information seeking: On traceability and creative sensemaking. In Semantic Keyword-based Search on Structured Data Sources, IKC 2015, pages 1-16, New York, NY, USA. Springer-Verlag New York, Inc.
  10. White, R. W. and Drucker, S. M. (2007). Investigating behavioral variability in web search. In Proc. of the 16th Int. Conf. on WWW, pages 21-30.
  11. White, R. W. and Roth, R. A. (2009). Exploratory Search: Beyond the Query-Response Paradigm. Synthesis Lect. on Information Concepts, Retrieval, and Services.
  12. Wildemuth, B. M. and Freund, L. (2012). Assigning search tasks designed to elicit exploratory search behaviors. In Proc. of the Symp. on HCI and IR, pages 4:1-4:10.
  13. Wu, W.-C., Kelly, D., and Huang, K. (2012). User evaluation of query quality. In Proc. of the 35th Int. ACM SIGIR Conf. on R&D in IR, pages 215-224. ACM.
Download


Paper Citation


in Harvard Style

Stange D., Kotzyba M., Langer S. and Nürnberger A. (2017). Interpreting and Leveraging Browser Interaction for Exploratory Search Tasks . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-249-3, pages 191-197. DOI: 10.5220/0006372901910197


in Bibtex Style

@conference{iceis17,
author={Dominic Stange and Michael Kotzyba and Stefan Langer and Andreas Nürnberger},
title={Interpreting and Leveraging Browser Interaction for Exploratory Search Tasks},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2017},
pages={191-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006372901910197},
isbn={978-989-758-249-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Interpreting and Leveraging Browser Interaction for Exploratory Search Tasks
SN - 978-989-758-249-3
AU - Stange D.
AU - Kotzyba M.
AU - Langer S.
AU - Nürnberger A.
PY - 2017
SP - 191
EP - 197
DO - 10.5220/0006372901910197