The University of Southampton
University of Southampton Institutional Repository

My favorites (bookmarks) schema – one solution to online information storage and retrieval

My favorites (bookmarks) schema – one solution to online information storage and retrieval
My favorites (bookmarks) schema – one solution to online information storage and retrieval
Dealing with the overwhelming daily amount of online information is perhaps the biggest challenge faced by all computer users, whether they are novices or experienced professionals. How, where and when to store information sources, such as websites, is becoming increasingly difficult as people spend more of their life online and use the internet in all aspects of their lives. Our survey of 202 internet users found that although 85% of the participants regularly use the favorites (bookmarks) function, 73% still have trouble finding a website that they have recently visited. Whether the strategy is to bookmark in a single massive list and use the search tool, or to bookmark into folders and sub-folders several levels deep, appears to make very little difference. This research proposes a contrarian approach, giving users a highly structured favorites (bookmarks) schema using only two levels, consisting of four main headings and 12 sub-headings. An open card sorting task was used to validate the utility of such an approach. The results and their impact towards a future user-based knowledge structure are presented in this paper.
978-1-4503-2299-7
Shen, Siu-Tsen
3d7a9237-0668-4ebe-87a5-2725b268fbd3
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Shen, Siu-Tsen
3d7a9237-0668-4ebe-87a5-2725b268fbd3
Prior, Stephen D.
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced

Shen, Siu-Tsen and Prior, Stephen D. (2013) My favorites (bookmarks) schema – one solution to online information storage and retrieval. ISDOC 2013 - International Conference on Information Systems and Design of Communication, Lisbon, Portugal. 11 - 12 Jul 2013. 8 pp . (doi:10.1145/2503859.2503865).

Record type: Conference or Workshop Item (Paper)

Abstract

Dealing with the overwhelming daily amount of online information is perhaps the biggest challenge faced by all computer users, whether they are novices or experienced professionals. How, where and when to store information sources, such as websites, is becoming increasingly difficult as people spend more of their life online and use the internet in all aspects of their lives. Our survey of 202 internet users found that although 85% of the participants regularly use the favorites (bookmarks) function, 73% still have trouble finding a website that they have recently visited. Whether the strategy is to bookmark in a single massive list and use the search tool, or to bookmark into folders and sub-folders several levels deep, appears to make very little difference. This research proposes a contrarian approach, giving users a highly structured favorites (bookmarks) schema using only two levels, consisting of four main headings and 12 sub-headings. An open card sorting task was used to validate the utility of such an approach. The results and their impact towards a future user-based knowledge structure are presented in this paper.

This record has no associated files available for download.

More information

Published date: 11 July 2013
Venue - Dates: ISDOC 2013 - International Conference on Information Systems and Design of Communication, Lisbon, Portugal, 2013-07-11 - 2013-07-12
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 353958
URI: http://eprints.soton.ac.uk/id/eprint/353958
ISBN: 978-1-4503-2299-7
PURE UUID: 1f25943b-f891-4600-9f76-c71323467989
ORCID for Stephen D. Prior: ORCID iD orcid.org/0000-0002-4993-4942

Catalogue record

Date deposited: 27 Jun 2013 13:51
Last modified: 15 Mar 2024 03:45

Export record

Altmetrics

Contributors

Author: Siu-Tsen Shen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×