Demo Data from SIGIR 2026 / reviewers in the wild / expert
Elizabeth J. Brown
dblp:20/2195
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 70% Learning and educational technologies · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usability and user experience research › individual differences
cognitive style |
0.1 | 1 | 2006 | Reappraising cognitive styles in adaptive web applications · WWW 2006 |
Usability and user experience research
user modeling |
0.1 | 1 | 2006 | Reappraising cognitive styles in adaptive web applications · WWW 2006 |
Usability and user experience research
user study |
0.0 | 1 | 2006 | Reappraising cognitive styles in adaptive web applications · WWW 2006 |
Methods — techniques the papers use, named apart from their topics
felder-solomon inventory of learning styles · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Adapting for Visual and Verbal Learning Styles in AEHabstractThis paper describes how visual and verbal learning styles have been successfully integrated into an adaptive educational environment. User trials of this system were carried out, to determine the effect of the adaptation, and although these user trials do not indicate any statistically significant differences, the qualitative information gleaned from the study indicated that students preferred using this environment over other traditional revision methods, and that they perceived personalized tuition to be better than a 'one size fits all' approach Elizabeth J. Brown, Craig D. Stewart, Tim J. Brailsford |
ICALT | 1 |
| 2006 | Reappraising cognitive styles in adaptive web applicationsabstractThe mechanisms for personalisation used in web applications are currently the subject of much debate amongst researchers from many diverse subject areas. One of the most contemporary ideas for user modelling in web applications is that of cognitive styles, where a user's psychological preferences are assessed stored in a database and then used to provide personalised content and/or links. We describe user trials of a case study that utilises visual-verbal preferences in an adaptive web-based educational system (AWBES). Students in this trial were assessed by the Felder-Solomon Inventory of Learning Styles (ILS) instrument, and their preferences were used as a means of content personalisation.Contrary to previous findings by other researchers, we found no significant differences in performance between matched and mismatched students. Conclusions are drawn about the value and validity of using cognitive styles as a way of modelling user preferences in educational web applications. Elizabeth J. Brown, Tim J. Brailsford, Tony Fisher, Adam Moore, Helen Ashman |
WWW | 1 |