Analyzing Eye-Tracking Information in Visualization and Data Space: From Where on the Screen to What on the Screen
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 770
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2016.2535340
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 1492
- Volume
- 23
- Issue
- 5
- ISSN
- 1077-2626
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the most important journal in its domain (IEEE Transactions on Visualization and Computer Graphics), this is the first approach backed by algorithmic and experimental results to help eye-tracking research move beyond traditional small scale eye-tracking studies and leverage the large amounts of data that new, cheap and precise, eye-trackers can facilitate. The work led to a Dagstuhl invitation (18252) to contribute to an agenda for ubiquitous eye-tracking (“Ubiquitous Gaze Sensing and Interaction”) and prompted further international collaborative work (e.g., with Schreck (TU Graz), Weiskopf (Stuttgart), Raubal (ETH Zurich).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
