Cognitive task analysis for interface designs to assist medical engineers in hemodialysis machine troubleshooting

Yoshitaka Maeda, Satoshi Suzuki, Akinori Komatsubara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the aim of designing an interface that supports troubleshooting of a dialysis machine, a medical-engineer (ME) cognitive task analysis was conducted in this study, with the error messages currently provided by a hemodialysis machine also being analyzed and evaluated. First, we developed the “error-message mechanism diagram” for the given problem, indicating the relationship between the error message and the notifying conditions of this message (corresponding to the candidate for the cause of the problem). Next, we developed the “cognitive task flow diagram,” which shows the cause candidates generated by the ME until the source of the problem was detected. This diagram also clarifies the manner in which the ME verifies the cause candidates and the information or knowledge employed by the ME. Then, for the given problem, we compared the cognitive task flow diagram of an ME who successfully detected the problem cause and corresponding error-message mechanism diagram to evaluate the efficacy of the error messages currently provided by the device.

    Original languageEnglish
    Title of host publicationEngineering Psychology and Cognitive Ergonomics
    Subtitle of host publicationCognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings
    PublisherSpringer Verlag
    Pages101-114
    Number of pages14
    Volume10276 LNAI
    ISBN (Print)9783319584744
    DOIs
    Publication statusPublished - 2017
    Event14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 - Vancouver, Canada
    Duration: 2017 Jul 92017 Jul 14

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10276 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017
    CountryCanada
    CityVancouver
    Period17/7/917/7/14

    Keywords

    • Cognitive task analysis
    • Medical equipment and hemodialysis
    • Troubleshooting

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Fingerprint Dive into the research topics of 'Cognitive task analysis for interface designs to assist medical engineers in hemodialysis machine troubleshooting'. Together they form a unique fingerprint.

  • Cite this

    Maeda, Y., Suzuki, S., & Komatsubara, A. (2017). Cognitive task analysis for interface designs to assist medical engineers in hemodialysis machine troubleshooting. In Engineering Psychology and Cognitive Ergonomics: Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings (Vol. 10276 LNAI, pp. 101-114). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10276 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-58475-1_8