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)
    50 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
    @inproceedings{4d241e3c0afc444b95d5d03361b3fbf8,
    title = "Evaluating automatic warning cues for visual search in vascular images",
    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",
    keywords = "IR-70070, METIS-270742, Image segmentation, magnetic resonanceangiography, Visual search, EWI-17525, Automatic warning system",
    author = "{van Schooten}, B.W. and {van Dijk}, {Elisabeth M.A.G.} and Antinus Nijholt and Reiber, {Johan H.C.}",
    note = "10.1145/1719970.1720039",
    year = "2010",
    month = "2",
    day = "10",
    doi = "10.1145/1719970.1720039",
    language = "Undefined",
    isbn = "978-1-60558-515-4",
    publisher = "Association for Computing Machinery (ACM)",
    pages = "393--396",
    booktitle = "Proceedings of the 14th International Conference on Intelligent User Interfaces, IUI'10",
    address = "United States",

    }

    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

    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 -

    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