The University of Southampton
University of Southampton Institutional Repository

Spatial Consistency and Contextual Cues for Incidental Learning in Browser Design

Wilson, Max L., André, Paul, Smith, Daniel A. and schraefel, m.c. (2007) Spatial Consistency and Contextual Cues for Incidental Learning in Browser Design s.n.

Record type: Monograph (Project Report)

Abstract

This paper introduces the Backward Highlighting technique for mitigating an identified flaw in directional column-faceted browsers like iTunes. Further, the technique significantly enhances the information that can be learned from the columns and encourages further interaction with facet items that were previously restricted from use. After giving a detailed overview of faceted browsing approaches, the Backward Highlighting technique is described along with possible implementations. Two of these possible implementations are compared to a control condition to statistically prove the value of Backward Highlighting. The analysis produces design recommendations for implementing the Backward Highlighting technique within faceted browsers that choose the directional column approach. The paper concludes with future work on how to further improve on the statistically proven advantages provided by the Backward Highlighting technique.

PDF Backward_Highlighting_Submission.pdf - Other
Download (2MB)

More information

Accepted/In Press date: 19 September 2007
Additional Information: Event Dates: April, 2008
Keywords: faceted, search, backward, highlighting, paths, study
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 264552
URI: http://eprints.soton.ac.uk/id/eprint/264552
PURE UUID: 34cf74c8-5291-4ac6-9a87-452174e40a02

Catalogue record

Date deposited: 21 Sep 2007
Last modified: 18 Jul 2017 07:34

Export record

Contributors

Author: Max L. Wilson
Author: Paul André
Author: Daniel A. Smith
Author: m.c. schraefel

University divisions

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.

×