Success in online searches: Differences between evaluation and finding tasks

Journal of the Association for Information Science and Technology

Volumn 67, Issue 12, 2016, Pages 2897-2908

  Wirth, Werner ^a   Sommer, Katharina ^a   von Pape, Thilo ^b   Karnowski, Veronika ^c  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b UNIVERSITY OF HOHENHEIM   (Germany)

^c UNIVERSITY OF MUNICH   (Germany)

Author keywords

information discovery; information seeking; online searching

Indexed keywords

WEBSITES;

FLOW EXPERIENCE; INFORMATION DISCOVERY; INFORMATION SEEKING; QUASI-EXPERIMENTS; SEARCH PROCESS; SEARCH SUCCESS; SURVIVAL ANALYSIS; WORLD WIDE WEBS (WWW);

ONLINE SEARCHING;

INFORMATION SEEKING; INTERNET; SURVIVAL ANALYSIS;

EID: 84995518964     PISSN: 23301635     EISSN: 23301643     Source Type: Journal    
DOI: 10.1002/asi.23389     Document Type: Article

References (52)

1. Alexander, P.A., Kulikowitch, J.M., & Jetton, T.L. (1994). The role of subject-matter knowledge and interest in the processing of linear and nonlinear texts. Review of Educational Research, 64, 201–252. doi: 10.3102/00346543064002201
2. Bilal, D. (2000). Children's use of the Yahooligans! Web search engine: I. Cognitive, physical, and affective behaviors on fact-based search tasks. Journal of the American Society for Information Science and Technology, 51(7), 646–665. doi: 10.1002/(SICI)1097-4571(2000)51:7<646::AID-ASI7>3.0.CO;2-A
3. Bilal, D. (2001). Children's use of the Yahooligans! Web search engine: II. Cognitive and physical behaviors on research tasks. Journal of the American Society for Information Science and Technology, 52, 118–136. doi: 10.1002/1097-4571(2000)9999:9999<::AID-ASI1038>3.0.CO;2-R
4. Bilal, D., & Kirby, J. (2002). Differences and similarities in information seeking: children and adults as web users. Information Processing & Management, 38, 649–670. doi: 10.1108/14684520210425376
5. Box-Steffensmeier, J.M., & Jones, B.S. (2004). Event history modeling: A guide for social scientists. Cambridge, United Kingdom: Cambridge University Press.
6. Brand-Gruwel, S., & Stadtler, M. (2011). Solving information-based problems: Evaluating sources and information. Learning and Instruction, 21, 175–179. doi: 10.1016/j.learninstruc.2010.02.008
7. Brand-Gruwel, S., Wopereis, I., & Vermetten, Y. (2005). Information problem solving by experts and novices: Analysis of a complex cognitive skill. Computers in Human Behavior, 21, 487–508. doi: 10.1016/j.chb.2004.10.005
8. Cronbach, L.J. (1951). Coefficient alpha and the internal structure of tests. Psychometrica, 16, 297–334. doi: 10.1007/BF02310555
9. Csikszentmihalyi, M. (1993). The evolving self: A psychology for the third millenium. New York: Harper Perennial.
10. Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York: Basic Books.
11. Csikszentmihalyi, M., & Csikszentmihalyi, I.S. (Eds.). (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge, United Kingdom: Cambridge University Press.
12. Downing, R.E., Moore, J.L., & Brown, S.W. (2005). The effects and interaction of spatial visualization and domain expertise on information seeking. Computers in Human Behavior, 21, 195–209. doi: 10.1016/j.chb.2004.03.040
13. Eysenbach, G., & Köhler, C. (2002). How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews. British Medical Journal, 324, 573–577.
14. Hansen, D.L., Derry, H.A., Resnick, P.J., & Richardson, C.R. (2003). Adolescents searching for health information on the Internet: An observational study. Journal of Medical Internet Research, 5, e25.
15. Hoffman, D.L., & Novak, T.P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60, 50–68.
16. Hoffman, D.L., & Novak, T.P. (2009). Flow online: Lessons learned and future prospects. Journal of Interactive Marketing, 23, 23–34. doi: 10.1016/j.intmar.2008.10.003
17. Hosmer, D.W., & Lemeshow, S. (1999). Applied survival analysis: Regression modeling of time to event data. New York: John Wiley & Sons.
18. Hsieh-Yee, I. (1993). Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers. Journal of the American Society for Information Science and Technology, 44, 161–174. doi: 10.1002/(SICI)1097-4571(199304)44:3<161::AID-ASI5>3.0.CO;2-8
19. Kao, G.Y.-M., Lei, P.-L., & Sun, C.-T. (2008). Thinking style impacts on web search strategies. Computers in Human Behavior, 24, 1330–1341. doi: 10.1016/j.chb.2007.07.009
20. Khan, K., & Locatis, C. (1998). Searching through cyberspace: The effects of link display and link density on information retrieval from hypertext on the world wide web. Journal of the American Society for Information Science and Technology, 49, 176–182. doi: 10.1002/(SICI)1097-4571(199802)49:2<176::AID-ASI7>3.0.CO;2-8
21. Kuo, F.-Y., Chu, T.-H., Hsu, M.-H., & Hsieh, H.-S. (2004). An investigation of effort-accuracy trade-off and the impact of self-efficacy on web searching behaviors. Decision Support Systems, 37, 331–342. doi: 10.1016/S0167-9236(03)00032-0
22. Lazonder, A.W. (2000). Exploring novice users' training needs in searching information on the WWW. Journal of Computer Assisted Learning, 16, 326–335. doi: 10.1046/j.1365-2729.2000.00145.x
23. Lazonder, A.W., Biemans, H.J.A., & Wopereis, I.G.J.H. (2000). Differences between novice and experienced users in searching information on the world wide web. Journal of the American Society for Information Science and Technology, 51, 576–581. doi: 10.1002/(SICI)1097-4571(2000)51:6<576::AID-ASI9>3.0.CO;2-7
24. Liaw, S.-S., & Huang, H.-M. (2006). Information retrieval from the world wide web: A user-focused approach based on individual experience with search engines. Computers in Human Behavior, 22, 501–517. doi: 10.1016/j.chb.2004.10.007
25. MaKinster, J.G., Beghetto, R.A., & Plucker, J.A. (2002). Why can't I find Newton's third law? Case studies of students' use of the web as a science resource. Journal of Science Education and Technology, 11, 155–172. doi: 10.1023/A:1014617530297
26. Marchionini, G. (1989). Information-seeking strategies of novices using a full-text electronic encyclopedia. Journal of the American Society for Information Science and Technology, 40, 54–66. doi: 10.1002/(SICI)1097-4571(198901)40:1<54::AID-ASI6>3.0.CO;2-R
27. Marchionini, G. (1995). Information-seeking in electronic environments. New York: Cambridge University Press.
28. Moore, J.L., Erdelez, S., & He, W. (2007). The search experience variable in information behavior research. Journal of the American Society for Information Science and Technology, 58, 1529–1546. doi: 10.1002/asi.20635
29. Neuendorf, K.A. (2002). The content analysis guidebook. Thousand Oaks, CA: Sage.
30. Novak, T.P., Hoffman, D.L., & Yung, Y.-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19, 22–42. doi: 10.1287/mksc.19.1.22.15184
31. Novak, T.P., Hoffman, D.L., & Duhachek, A. (2003). The influence of goal-directed and experiential activities on online flow experiences. Journal of Consumer Psychology, 13, 3–16. doi: 10.1207/S15327663JCP13-1&2_01
32. Nunnally, J.C. (1978). Psychometric theory. New York: McGraw-Hill.
33. Petty, R.E., & Cacioppo, J.T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. doi: 10.1016/S0065-2601(08)60214-2
34. Petty, R.E., & Wegener, D.T. (1999). The elaboration likelihood model: Current status and controversies. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 41–72). London: The Guilford Press.
35. Raftery, A. (1996). Bayesian model selection in social research. In P. Marsden (Ed.), Sociological methodology (pp. 111–163). Oxford: Blackwell.
36. Riffe, D., Lacy, S., & Fico, F.G. (1998). Analyzing media messages: Using quantitative content analysis in research. Mahwah, NY: Lawrence Erlbaum.
37. Savolainen, R., & Kari, J. (2006). Facing and bridging gaps in web searching. Information Processing & Management, 42, 519–537. doi: 10.1016/j.ipm.2005.01.009
38. Sénécal, S., Nantel, J., & Gharbi, J.-E. (2002). The influence of flow on hedonic and utilitarian shopping values. Advances in Consumer Research, 28, 483–484.
39. Sherry, J.L. (2004). Flow and media enjoyment. Communication Theory, 14, 328–347. doi: 10.1111/j.1468-2885.2004.tb00318.x
40. Singer, J.B., & Willett, J.B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York: Oxford University Press.
41. Skadberg, Y., & Kimmel, J.R. (2004). Visitors' flow experience while browsing a web site: Its measurement, contributing factors and consequences. Computers in Human Behavior, 20, 403–422. doi: 10.1016/S0747-5632(03)00050-5
42. Snyder, L.B. (1991). Modeling dynamic communication processes with event history analysis. Communication Research, 18, 464–486. doi: 10.1177/009365091018004002
43. Snyder, L.B., & O'Connell, A.A. (2008). Event history analysis for communication research. In A.F. Hayes, M.D. Slater, & L.B. Snyder (Eds.), The SAGE sourcebook of advanced data analysis methods for communication research (pp. 125–158). Thousand Oaks, CA: Sage.
44. Staggers, N., & Norcio, A.F. (1993). Mental models. Concepts for human-computer interaction research. International Journal of Man-Machine Studies, 38, 587–605. doi: 10.1006/imms.1993.1028
45. Stronge, A.J., Rogers, W.A., & Fisk, A.D. (2006). Web-based information search and retrieval: Effects of strategy use and age on search success. Human Factors, 48, 434–446. doi: 10.1518/001872006778606804
46. Tabatabai, D., & Shore, B.M. (2005). How experts and novices search the web. Library & Information Science Research, 27, 222–248. doi: 10.1016/j.lisr.2005.01.005
47. Thatcher, A. (2008). Web search strategies: The influence of web experience and task type. Information Processing & Management, 44, 1308–1329. doi: 10.1016/j.ipm.2007.09.004
48. Waller, V. (2011). Not just information: Who searches for what on the search engine Google? Journal of the American Society for Information Science and Technology, 62, 761–775. doi: 10.1002/asi.21492
49. Walraven, A., Brand-Gruwel, S., & Boshuizen, H.P. (2008). Information-problem solving: A review of problems students encounter and instructional solutions. Computers in Human Behavior, 24, 623–648. doi: 10.1016/j.chb.2007.01.030
50. Webster, J., Trevino, L.K., & Ryan, L. (1993). The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior, 9, 411–426. doi: 10.1016/0747-5632(93)90032-N
51. White, M.D., & Iivonen, M. (2002). Assessing level of difficulty in web search questions. Library Quarterly, 72, 205–233.
52. Zickuhr, K. (2010). Generations 2010: Pew Internet & American Life Project. Retrieved from http://www.pewinternet.org/files/old-media//Files/Reports/2010/PIP_Generations_and_Tech10.pdf