QWIC: Performance Heuristics for Large Scale Exploratory User Interfaces

Smith, Daniel A., Lambert, Joe, schraefel, mc and Bretherton, David (2010) QWIC: Performance Heuristics for Large Scale Exploratory User Interfaces. User Interface Software and Technology 2010, United States. 03 - 06 Oct 2010. (Submitted)

Record type: Conference or Workshop Item (Poster)

Abstract

Faceted browsers offer an effective way to explore relationships and build new knowledge across data sets. So far, web-based faceted browsers have been hampered by limited feature performance and scale. QWIC, Quick Web Interface Control, describes a set of design heuristics to address performance speed both at the interface and the backend to operate on large-scale sources.

Text

UIST145-Smith.pdf - Version of Record

Download (136kB)

Text

UIST_2010_Poster_final.pdf - Other

Download (6MB)

More information

Submitted date: October 2010

Additional Information: Event Dates: October 3-6, 2010

Venue - Dates: User Interface Software and Technology 2010, United States, 2010-10-03 - 2010-10-06

Organisations: Agents, Interactions & Complexity

Learn more about Agents, Interactions & Complexity research

Identifiers

Local EPrints ID: 271455

URI: https://eprints.soton.ac.uk/id/eprint/271455

PURE UUID: 4358a230-da2b-4952-8a27-9394aefb62bf

Catalogue record

Date deposited: 31 Jul 2010 16:31

Last modified: 26 Feb 2019 17:31

Export record

Contributors

Author: Daniel A. Smith

Author: Joe Lambert

Author: mc schraefel

Author: David Bretherton

University divisions

Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg) > Agents, Interactions & Complexity (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Agents, Interactions & Complexity (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Agents, Interactions & Complexity (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Agents, Interactions and Complexity > Agents, Interactions & Complexity (pre 2018 reorg)
School of Electronics and Computer Science > Agents, Interactions and Complexity > Agents, Interactions & Complexity (pre 2018 reorg)

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

Library staff additional information