Evaluating automatic warning cues for visual search in vascular images

B.W. van Schooten; Elisabeth M.A.G. van Dijk; Antinus Nijholt; Johan H.C. Reiber

doi:10.1145/1719970.1720039

Evaluating automatic warning cues for visual search in vascular images

B.W. van Schooten, Elisabeth M.A.G. van Dijk, Antinus Nijholt, Johan H.C. Reiber

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

100 Downloads (Pure)

Abstract

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

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	https://doi.org/10.1145/1719970.1720039
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

Access to Document

10.1145/1719970.1720039

paper450
open

Cite this

van Schooten, B. W., van Dijk, E. M. A. G., Nijholt, A., & Reiber, J. H. C. (2010). Evaluating automatic warning cues for visual search in vascular images. In Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10 (pp. 393-396). [10.1145/1719970.1720039] Association for Computing Machinery (ACM). https://doi.org/10.1145/1719970.1720039

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keywords = "IR-70070, METIS-270742, Image segmentation, magnetic resonanceangiography, Visual search, EWI-17525, Automatic warning system",

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van Schooten, BW, van Dijk, EMAG, Nijholt, A & Reiber, JHC 2010, Evaluating automatic warning cues for visual search in vascular images. in Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10., 10.1145/1719970.1720039, Association for Computing Machinery (ACM), New York, pp. 393-396, 14th International Conference on Intelligent User Interfaces, IUI 2010, Hong Kong, Hong Kong, 7/02/10. https://doi.org/10.1145/1719970.1720039

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

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