International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 4, No. 5, 8 May 2012
Cover page and Table of Contents: PDF (size: 459KB)
Web Refinding Support System Based on Process Recollective Activity
Full Text (PDF, 459KB), PP.1-7
Views: 0 Downloads: 0
Author(s)
Masashi Toda
1,*
Index Terms
Web refinding, process-recollective, human-memory
Abstract
The recent growth of search technology has enabled people to find information more easily. However, most people need to refind information on a daily basis. Finding and refinding are different activities and require different types of support. However, current refinding support systems don't consider this point. This has caused several problems: PVR, loss of contextual information, and difference in search experiences. We discuss these problems and their solutions from a cognitive perspective. We propose a process-recollective refinding support system based on this discussion. We demonstrate a novel approach to refinding information on the web and a specific system as an example.
Cite This Paper
Masashi Toda, "Web Refinding Support System Based on Process Recollective Activity", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.5, pp.1-7, 2012. DOI:10.5815/ijitcs.2012.05.01
Reference
[1]Del.icio.us, http://del.icio.us/
[2]Digg, http://digg.com/
[3]D. Abrams, R. Baecker, and M. Chignell. Information archiving with bookmarks: personalWeb space construction and organization. Proceedings of the SIGCHI conference on Human factors in computing systems, pages 41-48, 1998.
[4]E. Ayers and J. Stasko. Using Graphic History in Browsing the World Wide Web. Graphics, Visualization & Usability Center, Georgia Institute of Technology, 1995.
[5]R. Capra, M. Pinney, and M. P´erez-Qui˜nones. Refinding Is Not Finding Again. Technical report, Technical Report TR-05-10, Computer Science, Virginia Tech, 2005.
[6]R. Capra III and M. P´erez-Qui˜nones. Mobile refinding of web information using a voice interface: an exploratory study. Proceedings of the 2005 Latin American conference on Human-computer interaction, pages 88-99, 2005.
[7]A. Cockburn and S. Jones. Which way now? Analysing and easing inadequacies inWWWnavigation. International Journal of Human Computer Studies, 45(1):105-129, 1996.
[8]E. Freeman and D. Gelernter. Lifestreams: a storage model for personal data. ACM SIGMOD Record, 25(1):80-86, 1996.
[9]R. Herz. The effects of cue distinctiveness on odorbased context-dependent memory. Memory & Cognition, 25(3):375-80, 1997
[10]W. Jones, H. Bruce, and S. Dumais. Keeping found things found on the web. Proceedings of the tenth international conference on Information and knowledge management, pages 119-126, 2001.
[11]W. Li, Y. Hara, R. Ito, Y. Kimura, K. Shimazu, Y. Saito, Q. Vu, E. Chang, D. Agrawal, K. Hirata, et al. PowerBookmarks: a system for personalizableWeb information organization, sharing, and management. Proceedings of the 1999 ACM SIGMOD international conference on Management of data, pages 565-567, 1999.
[12]D. Nelson, V. Reed, and J. Walling. Pictorial superiority effect. J Exp Psychol [Hum Learn, 2(5):523-8, 1976.
[13]J. Pitkow and C. Kehoe. Emerging trends in theWWWuser population. Communications of the ACM, 39(6):106-108, 1996.
[14]B. Rhodes. The wearable remembrance agent: A system for augmented memory. Personal Technologies, 1(4):218-224, 1997.
[15]J. Surowiecki. The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. Doubleday, 2004.
[16]J. Teevan, C. Alvarado, M. Ackerman, and D. Karger. The perfect search engine is not enough: a study of orienteering behavior in directed search. Proceedings of the 2004 conference on Human factors in computing systems, pages 415-422, 2004.
[17]E. Tulving and D. Thomson. Encoding Specificity and Retrieval Processes in Episodic Memory. Psychological Review, 80(5):352-73, 1973.
[18]J. Wen. Post-Valued Recall Web Pages: User Disorientation Hits the Big Time. IT & Society, 1(3):184-194, 2003.