The role of subjective factors in the information search process

Journal of the American Society for Information Science and Technology

Volumn 60, Issue 12, 2009, Pages 2452-2464

  Gwizdka, Jacek ^a   Lopatovska, Irene ^b  

^a RUTGERS UNIVERSITY   (United States)

^b PRATT INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL CORRELATIONS ANALYSIS; DATA ANALYSIS; INFORMATION SEARCH PROCESS; SEARCH BEHAVIOR; SEARCH RESULTS; SEARCH TASKS; SUBJECTIVE FACTORS; TASK DIFFICULTY; WEB SEARCHES;

STATISTICAL TESTS; WEBSITES;

MULTIVARIANT ANALYSIS;

EID: 72449145336     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21183     Document Type: Article

References (50)

1. Agosto, D.E. (2002). Bounded rationality and satisficing in young people's Web-based decision making. Journal of the American Society for Information Science, 53(1), 16-27.
2. Arapakis, I., Jose, J.M., & Gray, P.D. (2008). Affective feedback: An investigation into the role of emotions in the information seeking process. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 395-402), New York.
3. Bilal, D. (2000). Children's use of the Yahooligans! web search engine: I. Cognitive, physical, and affective behavior on fact-based search tasks. Journal of the American Society for Information Science, 51(7), 646-665.
4. Bilal, D. (2002). Children's use of the Yahooligans! web search engine: III. Cognitive, physical, and affective behavior on fully self-generated search tasks. Journal of the American Society for Information Science, 53(73), 1170-1183.
5. Bilal, D., & Bachir, I. (2007). Children's interaction with cross-cultural and multilingual digital libraries: II. Information seeking, success, and affective experience. Information Processing & Management, 43, 65-80.
6. Bilal, D., & Kirby, J. 2002 Differences and similarities in information seeking: Children and adults as web users. Information Processing & Management, 38, 649-670. (Pubitemid 34288165)
7. Borga, M. (2001). Canonical correlation. A tutorial. Retrieved February 10, 2009, from, http://www.imt.liu.se/~magnus/cca/tutorial/tutorial.pdf
8. Borlund, P. (2003). The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Information Research, 8(3), Paper No. 152. Retrieved February 1, 2009, from http://informationr.net/ir/8-3/ paper152.html
9. Botafogo, R.A., Rivlin, E., & Shneiderman, B. (1992). Structural analysis of hypertexts: Identifying hierarchies and useful metrics. ACM Transactions on Information Systems, 10, 142-180. (Pubitemid 23599677)
10. Buntine, W., Valtonen, K., & Taylor, M. (2005, May). The ALVIS document model for a semantic search engine. Paper presented at the 2nd Annual European Semantic Web Conference, Heraklion, Crete.
11. Gwizdka, J., & Spence, I. (2006, November). What can searching behavior tell, us about the difficulty of information tasks? A study of Web navigation. Proceedings of the 69th Annual Meeting of the American Society for Information Science and Technology, Austin, TX.
12. Gwizdka, J., & Spence, I. (2007). Implicit measures of lostness and success in Web navigation. Interacting With Computers, 19(3), 357-369.
13. Henson, R.K. (2000). Demystifying parametric analyses: Illustrating canonical correlation as the multivariate general linear model. Multiple Linear Regression Viewpoints, 26(1), 11-19.
14. Herder, E., & Juvina, I. (2004). Discovery of individual user navigation styles. In G.D. Magoulas & S.Y. Chen (Eds.), Adaptive Hypermedia Workshop on Individual Differences in Adaptive Hypermedia (pp. 40-49). Eindhoven, The Netherlands.
15. James, L., & Nahl, D. (1996). Achieving focus, engagement, and acceptance: Three phases of adapting to Internet use. Electronic Journal on Virtual Culture, 4(1). Last retrieved May 10, 2007, from http://www2.hawaii.edu/ ~nahl/articles/ejvc.html
16. Juvina, I., & Oostendorp, H. van (2004). Individual differences and behavioral aspects involved in modeling Web navigation. In C. Stary & C. Stephanidis (Eds.), User-centered interaction paradigms for universal access in the information society. Lecture Notes in Computer Science, 3196, 77-95. Vienna: Springer.
17. Kahneman, D. (2000). Experienced utility and objective happiness: A moment-based approach. In D. Kahneman & A. Tversky (Eds.), Choices, values, and frames (pp. 673-692). New York: Cambridge University Press.
18. Kalbach, J. (2006). "I'm feeling lucky": The role of emotions in seeking information on the Web. Journal of the American Society for Information Science, 57(6), 813-818.
19. Kellar, M., Watters, C., & Shepherd, M. (2007). A field study characterizing Web-based information-seeking tasks. Journal of the American Society for Information Science and Technology, 58(7), 999-1018. (Pubitemid 46826216)
20. Kracker, J. (2002). Research anxiety and students' perceptions of research: An experiment: Part I. Effect of teaching Kuhlthau's ISP model. Journal of the American Society for Information Science, 53(4), 282-294.
21. Kracker, J., & Wang, P. (2002). Research anxiety and students' perceptions of research: An experiment: Part II. Content analysis of their writings on two experiences. Journal of the American Society for Information Science, 53(4), 295-307. (Pubitemid 34237299)
22. Kuhlthau, C.C. (1991). Inside the search process: Information seeking from the users' perspective. Journal of the American Society for Information Science, 42(5), 361-371.
23. Li, Y., & Belkin, N.J. (2008). A faceted approach to conceptualizing tasks in information seeking. Information Processing & Management, 44(6), 1822-1837.
24. Loewenstein, G., & Schkade, D. (1999). Wouldn't it be nice? Predicting future feelings. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Wellbeing: The foundations of hedonic psychology (pp. 85-105). New York: Sage Foundation.
25. Lopatovska, I. (2009a, in press). Does the mood matter? To appear in Proceedings of the International Conference on Affective Computing and Intelligent Interaction.
26. Lopatovska, I. (2009b, in press). Searching for good mood: Examining relationships between search task and mood. To appear in Proceedings of the Annual Meeting of the American Society for Information Science and Technology.
27. Lopatovska, I., & Mokros, H. (2007). Willingness to pay and experienced utility as measures of affective value in the information retrieval objects: Users' accounts. Information Processing & Management, 44(1), 92-104.
28. Marchionini, G. (Ed.). (1.995). Information seekers and electronic environments. In Information seeking in electronic environments (pp. 11-26), Cambridge, MA: Cambridge University Press.
29. McEneaney, J.E. (2001). Graphic and numerical methods to assess navigation in hypertext. International Journal of Human-Computer Studies, 55, 761-786.
30. Meghabghab, D.B. (1995). CD-ROM vs. online vs. Internet: Search strategies and evaluation from the user's perspective. In E. Williams (Ed.), Proceedings of the 16th National Online meeting (pp. 295-307). Medford, NJ: Learned Information.
31. Mellon, C.A. (1988). Attitudes: The forgotten dimension in library instruction. Library Journal, 113(14), 137-139.
32. Nahl, D. (1998). Learning the Internet and the structure of information behavior. Journal of the American Society for Information Science, 49(11), 1017-1023.
33. Nahl, D. (2004). Measuring the affective information environment of web searchers. Proceedings of the 67th Annual Meeting of the American Society for Information Science and Technology, 41, 191-197.
34. Nahl, D. (2005). Affective and cognitive information behavior: Interaction effects in Internet use. In A. Grove (Ed.), Proceedings of the 68th Annual Meeting of the American Society for Information Science and Technology, 42. Medford, NJ: Information Today.
35. Nahl, D., & Meer, M.P. (1997). User-centered assessment of two Web browsers: Errors, perceived self-efficacy, and success. Proceedings of the Annual Meeting of the American. Society for Information Science, 34, 89-97.
36. Nahl,D.,&Tenopir,C.(1996). Affectiveandcognitivesearchingbehaviorofnoviceend-usersofafull-textdatabase. JournaloftheAmericanSocietyforInformationScience,47(4),276-286. (Pubitemid126607683)
37. Onwuegbuzie, A.J., & Jiao, Q.G. (2004). Information search performance and research achievement: An empirical test of the Anxiety-Expectation Mediation model of library anxiety. Journal of the American Society for Information Science, 55(1), 41-54.
38. Otter, M., & Johnson, H. (2000). Lost in hyperspace: Metrics and mental models. Interacting with Computers, 13, 1-40. (Pubitemid 30928565)
39. Redelmeier, D., & Kahneman, D. (1996). Patients' memories of painful medical treatments: Real-time and retrospective evaluations of two minimally invasive procedures. Pain, 66, 3-8. (Pubitemid 26247018)
40. Saracevic, T. (2007). Relevance: A review of the literature and a framework for thinking on the notion in information science: Part II. Nature and manifestations of relevance. Journal of the American Society for Information Science and Technology, 58(3), 1915-1933.
41. Schkade, D.A., & Kahneman, D. (1998). Does living in California make people happy? A focusing illusion in judgments of life satisfaction. Psychological Science, 9, 340-346. (Pubitemid 128150582)
42. Schreiber, C.A., & Kahneman, D. (1996). Beyond the peak and end hypothesis: Exploring the relation between real-time displeasure and retrospective evaluation. Working Paper, Princeton University.
43. Sherry, A., & Henson, R.K. (2005). Conducting and interpreting canonical correlation analysis in personality research: A user-friendly primer. Journal of Personality Assessment, 84, 37-48. (Pubitemid 40096438)
44. Shih, P.-C., Mate, R., Sanchez, F., & Munoz, D. (2004, August). Quantifying user-navigation patterns: A methodology proposal. Poster presented at the 28th International Congress of Psychology, Bejing, China.
45. Su, L.T. (2003). A comprehensive and systematic model of user evaluation of web search engines: I. Theory and background. Journal of the American Society for Information Science and Technology, 54(13), 1175-1192.
46. Tauscher,L.,&Greenberg,S.(1997).Howpeoplerevisitwebpages: Empiricalfindingsandimplicationsforthedesignofhistorysystems. InternationalJournalofHuman-ComputerStudies,47,97-137.(Pubitemid127375887)
47. Tessier, J.A., Crouch, W.W., & Atherton, P. (1977). New measures of user satisfaction with computer-based literature searches. Special Libraries, 68(11), 383-389.
48. Toms, E., O'Brien, H., Mackenzie, T., Jordan, C., Freund, L., & Toze, S. (2008). Task effects on interactive search: The query factor. Workshop Pre-Proceedings in Initiative for the Evaluation of XML Retrieval (pp. 359-372).
49. Tzeng, J.-Y. (2004). Toward a more civilized design: Studying the effects of computers that apologize. International Journal of Human-Computer Studies, 61(3), 319-345.
50. Wang, P., Hawk, W.B., & Tenopir, C. (2000). Users' interaction with World Wide Web resources: An exploratory study using a holistic approach. Information Processing & Management, 36, 229-251. (Pubitemid 30550547)