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 proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
42 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 languageUndefined
Title of host publicationProceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages393-396
Number of pages4
ISBN (Print)978-1-60558-515-4
DOIs
Publication statusPublished - 10 Feb 2010
Event14th International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, Hong Kong
Duration: 7 Feb 201010 Feb 2010
Conference number: 14

Publication series

Name
PublisherACM

Conference

Conference14th International Conference on Intelligent User Interfaces, IUI 2010
Abbreviated titleIUI
CountryHong Kong
CityHong Kong
Period7/02/1010/02/10

Keywords

  • IR-70070
  • METIS-270742
  • Image segmentation
  • magnetic resonanceangiography
  • Visual search
  • EWI-17525
  • Automatic warning system

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] New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/1719970.1720039
van Schooten, B.W. ; van Dijk, Elisabeth M.A.G. ; Nijholt, Antinus ; Reiber, Johan H.C. / Evaluating automatic warning cues for visual search in vascular images. Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10. New York : Association for Computing Machinery (ACM), 2010. pp. 393-396
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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",
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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 proceedingConference contributionAcademicpeer-review

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T1 - Evaluating automatic warning cues for visual search in vascular images

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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

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van Schooten BW, van Dijk EMAG, Nijholt A, Reiber JHC. Evaluating automatic warning cues for visual search in vascular images. In 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 https://doi.org/10.1145/1719970.1720039