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A Unified Framework of Information Needs and Perceived Barriers in Interactive Video Retrieval  

Albertson, Dan (University at Buffalo)
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Journal of Information Science Theory and Practice / v.4, no.4, 2016 , pp. 4-15 More about this Journal
Information needs of users have been examined both generally and as they pertain to particular types and formats of information. Barriers to information have also been investigated, including those which are situational and also across certain domains and socioeconomic contexts. Unified studies concerning both information needs and barriers are needed. Both are likely always present in any given interactive search situation; further, users' attempts to satisfy their own individualized information needs will likely encounter barriers of some sort. The present study employed a survey method to collect users' perceptions of video information needs and barriers as part of recent video search situations. Findings from this analysis establish a unified framework, based on the themes emerging directly from the responses of users, and present the suitability and benefit for informing future designs and evaluations of user-centered interactive retrieval tools.
Interactive video retrieval; information needs; information barriers;
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1 Garber, S. R., & Grunes, M. B. (1992). The art of search: A study of art directors. In P. Bauersfeld, J. Bennett, & G. Lynch (Eds.), Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 157-163). New York: ACM Press.
2 Girard, A. (2014). Reader's block: A systematic review of barriers to adoption, access and use in e-book user studies. Information Research, 19(2) paper 624. Retrieved from
3 Hastings, S. K. (1995). Query categories in a study of intellectual access to digitized art images. In T. Kinney (Ed.), Proceedings of the 58th Annual Meeting of the American Society for Information Science (pp. 3-8). Medford, NJ: Information Today.
4 Jorgensen, C. (1996). Indexing images: Testing an image description template. In S. Hardin (Ed.), Proceedings of the 59th Annual Meeting of the American Society for Information Science (pp. 209-213). Medford, NJ: Information Today.
5 Jorgensen, C., & Jorgensen, P. (2005). Image querying by image professionals. Journal of the American Society for Information Science and Technology, 56(12), 1346-1359.   DOI
6 Hilbert, M. (2014). Technological information inequality as an incessantly moving target: The redistribution of information and communication capacities between 1986 and 2010. Journal of the Association for Information Science and Technology, 65(4), 821-835.   DOI
7 Kelly, D., Arguello, J., Edwards, A., & Wu, W. C. (2015). Development and evaluation of search tasks for IIR experiments using a cognitive complexity framework. In J. Allan & B. Croft (Eds.), Proceedings of the International Conference on the Theory of Information Retrieval (pp. 101-110).
8 Kuhlthau, C. C. (1988). Developing a model of the library search process: Cognitive and affective aspects. Reference Quarterly, 28, 232-242.
9 Lee, S., & Kim, B. (2009). Factors affecting the usage of intranet: A confirmatory study. Computers in Human Behavior, 25, 191-201.   DOI
10 McDonald, S., & Tait, J. (2003). Search strategies in content-based image retrieval. In Proceedings of the 26th Annual International Conference on Research and Development in Information Retrieval (pp. 80- 87). New York: ACM Press.
11 McKenzie, P. J. (2003). A model of information practices in accounts of everyday‐life information seeking. Journal of Documentation, 59(1), 19-40.   DOI
12 Norman, D. A. (1990). The design of everyday things. New York: Doubleday.
13 Pynoo, B., Devolder, P., Tondeur, J., Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27 (2011) 568-575.   DOI
14 Search: TRECVid 2009 Guidelines. (2009). Retrieved May 24, 2016 from tv2009/tv2009.html#4.3
15 Taylor, R. S. (1968). Question-negotiation and information seeking in libraries. College and Research Libraries, 29(3), 178-194.   DOI
16 Wildemuth, B., Freund, L., & Toms, E. G. (2014). Untangling search task complexity and difficulty in the context of interactive information retrieval studies. Journal of Documentation, 70(6), 1118-1140.   DOI
17 Wilkins, P., Troncy, R., Halvey, M., Byrne, D., Amin, A., Punitha, P., Smeaton, A. F., & Villa, R. (2009). User variance and its impact on video retrieval benchmarking. In Proceedings of the ACM International Conference on Image and Video Retrieval. New York: ACM Press.
18 Albertson, D. (2012). Examining feedback in interactive video retrieval. Journal of Information Science, 38(6), 501-511.   DOI
19 Wilson, T. D. (1994). Information needs and uses: Fifty years of progress. In B. C. Vickery (Ed.), Fifty years of information progress: A Journal of Documentation Review (pp. 15-51). London: Aslib.
20 Yang, M., Wildemuth, B., & Marchionini, G. (2004). The relative effectiveness of concept-based versus content-based video retrieval. In Proceedings of the Twelfth Annual ACM International Conference on Multimedia (pp. 368-371). New York: ACM Press.
21 Albertson, D., & Ju, B. (2015). Design criteria for video digital libraries: Categories of important features emerging from users' responses. Online Information Review, 39(2), 214-228.   DOI
22 Albertson, D. & Meadows III, C. (2011). Situated topic complexity in interactive video retrieval. Journal of the American Society for Information Science and Technology, 62(9), 1676-95.   DOI
23 Albertson, D., & Whitaker, M. S. (2011). A service-learning framework to support an MLIS core curriculum. Journal of Education for Library and Information Science, 52(2), 152-163.
24 Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.   DOI
25 Albertson, D. (2010). Influences of users' familiarity with visual search topics on interactive video digital libraries. Journal of the American Society for Information Science and Technology, 61(12), 2490-2502.   DOI
26 Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of Human Behavior (Vol. 4, pp. 71-81). New York: Academic Press.
27 Bystrom, K., & Jarvelin, K. (1995). Task complexity affects information seeking and use. Information Processing and Management, 31(2), 191-213.   DOI
28 Barta, K. M. (1995). Information-seeking, research utilization, and barriers to research utilization of pediatric nurse educators. Journal of Professional Nursing, 11(1), 49-57.   DOI
29 Belkin, N. J., Oddy, R. N., & Brooks, H. M. (1982). ASK for information retrieval: Part I. Background and theory. Journal of Documentation, 38(2), 61-71.   DOI
30 Billings, J. R., & Macvarish, J. (2010, January). Self-Efficacy: Addressing behavioural attitudes towards risky behaviour - an international literature review. Retrieved from
31 Case, D. O. (2012). Looking for information: A survey of research on information seeking, needs and behavior. Bingley, UK: Emerald Group Publishing.
32 Choi, Y., & Rasmussen, E. M. (2003). Searching for images: The analysis of users' queries for image retrieval in American history. Journal of the American Society for Information Science and Technology, 54(6), 498-511.   DOI
33 Christel, M. G. (2007). Examining user interactions with video retrieval systems. In A. Hanjalic, R. Schettini, & N. Sebe (Eds.), Proceedings of International Society for Optical Engineering Conference (SPIE), Vol. 6506, Multimedia Content Access: Algorithms and Systems. Bellingham, WA: Society of Photo-Optical Instrumentation Engineers.
34 Conniss, L. R., Ashford, A. J., & Graham, M. E. (2000). Information seeking behaviour in image retrieval: Visor I final report. Newcastle: University of Northumbria at Newcastle, Trading Services.
35 Fidel, R. (1997). Image retrieval task: Implications for the design and evaluation of image databases. The New Review of Hypermedia and Multimedia, 3(1997), 181-199.   DOI