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)
    75 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