Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Kansas City
    • School of Graduate Studies (UMKC)
    • Theses and Dissertations (UMKC)
    • Dissertations (UMKC)
    • 2019 Dissertations (UMKC)
    • 2019 UMKC Dissertations - Freely Available Online
    • View Item
    •   MOspace Home
    • University of Missouri-Kansas City
    • School of Graduate Studies (UMKC)
    • Theses and Dissertations (UMKC)
    • Dissertations (UMKC)
    • 2019 Dissertations (UMKC)
    • 2019 UMKC Dissertations - Freely Available Online
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    "Can I get a second opinion?" How user characteristics impact trust in automation in a medical screening task

    Hass, Norah Celeste
    View/Open
    [PDF] "Can I get a second opinion?" How user characteristics impact trust in automation in a medical screening task (1.922Mb)
    Date
    2019
    Format
    Thesis
    Metadata
    [+] Show full item record
    Abstract
    As technology advances, processes traditionally carried out by humans are being automated in a variety of industries, such as automotive, security, and food service. In the medical field, advances in automation allow for disease classification, diagnosis, and even treatment recommendations. Technological advances have improved diagnoses by automated devices such that many cases can be more accurately diagnosed by a computer program than by a medical doctor. The hindrance to implementing these technologies is that these systems need not only to exist, they must be accepted, trusted, and appropriately used by both patients and healthcare providers. Previous literature on automation acceptance has focused primarily on how design features and characteristics of the automation influence human trust. Less research has explored the role that user characteristics—such as personality and dispositional traits—play in developing trust. User responses to automation may warrant adaptation in how automation is presented and distributed in order to encourage its acceptance. In the present study, researchers examined the relationship between user characteristics, trust, and automation use in a medical screening decision task. Although user characteristics were found to predict trust attitudes, they did not significantly predict trust behaviors, i.e., automation use. These findings are discussed with the consideration of the differences between attitudes and behaviors in predicting trust. Keywords: trust in automation, medical decision-making, trust, automation, user traits
    Table of Contents
    Introduction -- Review of literature -- Methods -- Appendix A. Checklist for trust between people and automation -- Appendix B. Propensity to trust questionnaire -- Appendix C. Automation-induced complacency potential rating scale -- Appendix D. Rotter's Interpersonal trust Scale -- Appendix E. Big Five inventory -- Appendix F. revised domain-specific risk-taking (Dospert) scale -- Appendix G. Desirability of control scale -- Appendix H. Levenson IPC Scale -- Appendix I. General self-efficacy scale -- Appendix J. Demographics -- Appendix K. Media and technology usage and attitudes scale -- Appendix L. Multidimensional health locus of control scale -- Appendix M. Pre- and post-task questions
    URI
    https://hdl.handle.net/10355/69666
    Degree
    Ph.D. (Doctor of Philosophy)
    Thesis Department
    Psychology (UMKC)
    Collections
    • Psychology Electronic Theses and Dissertations (UMKC)
    • 2019 UMKC Dissertations - Freely Available Online

    If you encounter harmful or offensive content or language on this site please email us at harmfulcontent@umkc.edu. To learn more read our Harmful Content in Library and Archives Collections Policy.

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    If you encounter harmful or offensive content or language on this site please email us at harmfulcontent@umkc.edu. To learn more read our Harmful Content in Library and Archives Collections Policy.

    Send Feedback
    hosted by University of Missouri Library Systems