Demo Data from EDBT 2026 / reviewers in the wild / expert
LaDawn Jentzsch
dblp:130/0362
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1
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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
eye-tracking |
0.2 | 1 | 2013 | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts · WWW 2013 |
Information retrieval › user behavior
mouse movement analysis |
0.2 | 1 | 2013 | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts · WWW 2013 |
Information retrieval › interactive information retrieval
search result examination |
0.2 | 1 | 2013 | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts · WWW 2013 |
Information retrieval › interactive information retrieval
search result interaction |
0.2 | 1 | 2013 | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts · WWW 2013 |
Methods — techniques the papers use, named apart from their topics
mouse tracking · 0.2eye tracking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layoutsabstractAs search pages are becoming increasingly complex, with images and nonlinear page layouts, understanding how users examine the page is important. We present a lab study on the effect of a rich informational panel to the right of the search result column, on eye and mouse behavior. Using eye and mouse data, we show that the flow of user attention on nonlinear page layouts is different from the widely believed top-down linear examination order of search results. We further demonstrate that the mouse, like the eye, is sensitive to two key attributes of page elements -- their position (layout), and their relevance to the user's task. We identify mouse measures that are strongly correlated with eye movements, and develop models to predict user attention (eye gaze) from mouse activity. These findings show that mouse tracking can be used to infer user attention and information flow patterns on search pages. Potential applications include ranking, search page optimization, and UI evaluation. Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed 0001, Alexander J. Smola |
WWW | 2 |