Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10 |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 393-396 |
| Number of pages | 4 |
| ISBN (Print) | 978-1-60558-515-4 |
| DOIs | |
| Publication status | Published - 10 Feb 2010 |
| Event | 14th International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, Hong Kong Duration: 7 Feb 2010 → 10 Feb 2010 Conference number: 14 |
Publication series
| Name | |
|---|---|
| Publisher | ACM |
Conference
| Conference | 14th International Conference on Intelligent User Interfaces, IUI 2010 |
|---|---|
| Abbreviated title | IUI |
| Country | Hong Kong |
| City | Hong Kong |
| Period | 7/02/10 → 10/02/10 |
Keywords
- IR-70070
- METIS-270742
- Image segmentation
- magnetic resonanceangiography
- Visual search
- EWI-17525
- Automatic warning system
Cite this
}
Evaluating automatic warning cues for visual search in vascular images. / van Schooten, B.W.; van Dijk, Elisabeth M.A.G.; Nijholt, Antinus; Reiber, Johan H.C.
Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10. New York : Association for Computing Machinery (ACM), 2010. p. 393-396 10.1145/1719970.1720039.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Evaluating automatic warning cues for visual search in vascular images
AU - van Schooten, B.W.
AU - van Dijk, Elisabeth M.A.G.
AU - Nijholt, Antinus
AU - Reiber, Johan H.C.
N1 - 10.1145/1719970.1720039
PY - 2010/2/10
Y1 - 2010/2/10
N2 - Visual search is a task that is performed in various application areas. Search can be aided by an automatic warning system, which highlights the sections that may contain targets and require the user’s attention. The effect of imperfect automatic warnings on overall performance ultimately depends on the interplay between the user and the automatic warning system. While various studies exist, the different studies differ in several experimental variables including the nature of the visualisation itself. Studies in the medical area are relatively rare. We describe an experiment where users had to perform a visual search on a vascular structure, traversing a particular vessel linearly in search of possible errors made in an automatic segmentation. We find that only the case in which the warning system generates only false positives improves user time and error performance. We discuss this finding in relation to the findings of other studies
AB - Visual search is a task that is performed in various application areas. Search can be aided by an automatic warning system, which highlights the sections that may contain targets and require the user’s attention. The effect of imperfect automatic warnings on overall performance ultimately depends on the interplay between the user and the automatic warning system. While various studies exist, the different studies differ in several experimental variables including the nature of the visualisation itself. Studies in the medical area are relatively rare. We describe an experiment where users had to perform a visual search on a vascular structure, traversing a particular vessel linearly in search of possible errors made in an automatic segmentation. We find that only the case in which the warning system generates only false positives improves user time and error performance. We discuss this finding in relation to the findings of other studies
KW - IR-70070
KW - METIS-270742
KW - Image segmentation
KW - magnetic resonanceangiography
KW - Visual search
KW - EWI-17525
KW - Automatic warning system
U2 - 10.1145/1719970.1720039
DO - 10.1145/1719970.1720039
M3 - Conference contribution
SN - 978-1-60558-515-4
SP - 393
EP - 396
BT - Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10
PB - Association for Computing Machinery (ACM)
CY - New York
ER -