Web Refinding Support System Based on Process Recollective Activity

Free access

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.

More

Web refinding, process-recollective, human-memory

Short address: https://sciup.org/15011683

IDR: 15011683

References Web Refinding Support System Based on Process Recollective Activity

  • Del.icio.us, http://del.icio.us/
  • Digg, http://digg.com/
  • 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.
  • E. Ayers and J. Stasko. Using Graphic History in Browsing the World Wide Web. Graphics, Visualization & Usability Center, Georgia Institute of Technology, 1995.
  • 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.
  • 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.
  • A. Cockburn and S. Jones. Which way now? Analysing and easing inadequacies inWWWnavigation. International Journal of Human Computer Studies, 45(1):105-129, 1996.
  • E. Freeman and D. Gelernter. Lifestreams: a storage model for personal data. ACM SIGMOD Record, 25(1):80-86, 1996.
  • R. Herz. The effects of cue distinctiveness on odorbased context-dependent memory. Memory & Cognition, 25(3):375-80, 1997
  • 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.
  • 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.
  • D. Nelson, V. Reed, and J. Walling. Pictorial superiority effect. J Exp Psychol [Hum Learn, 2(5):523-8, 1976.
  • J. Pitkow and C. Kehoe. Emerging trends in theWWWuser population. Communications of the ACM, 39(6):106-108, 1996.
  • B. Rhodes. The wearable remembrance agent: A system for augmented memory. Personal Technologies, 1(4):218-224, 1997.
  • 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.
  • 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.
  • E. Tulving and D. Thomson. Encoding Specificity and Retrieval Processes in Episodic Memory. Psychological Review, 80(5):352-73, 1973.
  • J. Wen. Post-Valued Recall Web Pages: User Disorientation Hits the Big Time. IT & Society, 1(3):184-194, 2003.
More