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Improving Motive-Based Search

Utilization of Vague Feelings and Ideas in the Process of Information Seeking
  • Mandy Keck
  • Martin Herrmann
  • Andreas Both
  • Ricardo Gaertner
  • Rainer Groh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8028)

Abstract

In complex search scenarios like planning a vacation or finding a suitable gift for a friend, the user usually does not know exactly what he is looking for at the beginning. However, this is the question that most search interfaces present as first step. In this paper, we discuss approaches for supporting the user in expressing a search query based on vague feelings and ideas. We therefore consider search interfaces on the syntactic, semantic and pragmatic level and discuss different mechanisms of these levels to support the first stages of the information seeking process.

Keywords

search interfaces motive-based search implicit interaction context-aware systems emotional interfaces 

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References

  1. 1.
    Dörk, M., Williamson, C., Carpendale, S.: Navigating tomorrow’s web: From searching and browsing to visual exploration. ACM Trans. Web 6(3), Article 13, 28 pages (2012)Google Scholar
  2. 2.
    Beckers, T., Fuhr, N.: Towards the Systematic Design of IR Systems Supporting Complex Search Tasks. In: Talk at the ECIR Workshop ”Task Based and Aggregated Search” (TBAS), Barcelona, Spain (2012)Google Scholar
  3. 3.
    Dörk, M., Carpendale, S., Williamson, C.: The Information Flaneur: A Fresh Look at Information Seeking. In: CHI 2011: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1215–1224. ACM (2011)Google Scholar
  4. 4.
    Baethies, S., Gaertner, C., Spanihel, S., Tsatsas, D.: Design of an Emotional Search in an Existing Product Platform. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, pp. 514–518, 20–24 (2004), www.stylepark.com
  5. 5.
    Kuhlthau, C.C.: The role of experience in the information search process of an early career information worker: Perceptions of uncertainty, complexity, construction, and sources. J. Am. Soc. Inf. Sci. 50, 399–412 (1999)CrossRefGoogle Scholar
  6. 6.
    Kuhlthau, C.C.: Inside the Search Process: Information Seeking from the User’s Perspective. Journal of the American Society for Information Science and Technology 42(5), 361–371 (1991)Google Scholar
  7. 7.
    Russell-Rose, T., Tate, T.: Designing the Search Experience: The Information Architecture of Discovery. Morgan Kaufmann (2012)Google Scholar
  8. 8.
    Di Maio, P.: The Missing Pragmatic Link in the Semantic Web, Business Intelligence Advisory Service Executive Update. Clutter Consortium 8(7) (2008)Google Scholar
  9. 9.
    Bates, M.J.: Information Search tactics. Journal of the American Society for Information Science 30(4) S. 205–S. 214Google Scholar
  10. 10.
    Mutton, P., Golbeck, J.: Visualization of semantic metadata and ontologies. In: Proceedings of the Seventh International Conference on Information Visualization, IV 2003, pp. S. 300–S. 305 (2003)Google Scholar
  11. 11.
    Lopez, V., Fernández, M., Motta, E., Stieler, N.: PowerAqua: Supporting users in querying and exploring the Semantic Web. Semantic Web 3(3), S. 249–S. 265 (2012)Google Scholar
  12. 12.
    Davies, C.: Finding and Knowing. Taylor & Francis (2007)Google Scholar
  13. 13.
    Paschke, A., Weigand, H.: The Pragmatic Web (and its many relations). In: 7th AIS SIGPRAG International Conference Session on Pragmatic Web, Monpellier (2012)Google Scholar
  14. 14.
    Schoop, et al.: The pragmatic Web: a manifesto. Communications of the ACM 49, S.75–S. 76 (2006)Google Scholar
  15. 15.
    de Moor, A.: What’s up with the Pragmatic Web? Conversations in Context: A Twitter Case for Social Media Systems Design (2010), http://communitysense.wordpress.com/2010/09/14/whats-up-with-the-pragmatic-web/
  16. 16.
    Abowd, G.D., Dey, A.K.: Towards a Better Understanding of Context and Context-Awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  17. 17.
    Dourish, P.: Where The Action Is: The Foundations of Embodied Interaction. The MIT Press (2001)Google Scholar
  18. 18.
    Schmidt, A.: Implicit human computer interaction through context. Personal and Ubiquitous Computing 4(2), 191–199 (2000)Google Scholar
  19. 19.
    Schilit, B., Adams, N., Want, R.: Context-Aware Computing Applications. In: Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications (WMCSA 1994), pp. 85–90. IEEE Computer Society, Washington, DC (1994)CrossRefGoogle Scholar
  20. 20.
    Tamani, E., Evripidou, P.: A Pragmatic and Pervasive Methodology to Web Service Discovery OTM Workshops (2006)Google Scholar
  21. 21.
    Yuanchun, L., Xianghong, Z.: A Personalized Service Oriented Pragmatic-Context Architecture and Supporting System. In: Seventh International Symposium on Instrumentation and Control Technology (2008)Google Scholar
  22. 22.
    Baethies, S., Gaertner, C., Spanihel, S., Tsatsas, D.: Design of an Emotional Search in an Existing Product Platform. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, pp. 514–518, 20–24 (2004), http://www.stylepark.com
  23. 23.
    Brade, M., Heseler, J., Groh, R.: An Interface for Visual Information-Gathering During Web Browsing Sessions: BrainDump. In: Proceedings of the Fourth International Conference on Advances in Computer-Human Interactions, Le Gosier - France, February 23-28, pp. S. 112–S. 119 (2011)Google Scholar
  24. 24.
    Keck, M., Kammer, D., Iwan, R., Taranko, S., Groh, R.: DelViz: Exploration of Tagged Information Visualizations. In: Informatik 2011 - Interaktion und Visualisierung im Daten-Web, Berlin (2011)Google Scholar
  25. 25.
    Thudt, A., Hinrichs, U., Carpendale, S.: The bohemian bookshelf: supporting serendipitous book discoveries through information visualization. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2012), pp. 1461–1470. ACM Press, New York (2012)Google Scholar
  26. 26.
    Kianmehr, K., Koochakzadeh, N., Alhajj, R.: AskFuzzy: Attractive Visual Fuzzy Query Builder. In: IEEE 28th International Conference on Data Engineering (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mandy Keck
    • 1
  • Martin Herrmann
    • 1
  • Andreas Both
    • 2
  • Ricardo Gaertner
    • 3
  • Rainer Groh
    • 1
  1. 1.Chair of Media DesignTechnische Universität DresdenDresdenGermany
  2. 2.Unister GmbHLeipzigGermany
  3. 3.queo GmbHDresdenGermany

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