Assisting older adults in assessing the reliability of health-related websites

Craig D. Stewart, Vicki L. Hanson, Thomas J. Nind

    Research output: Chapter in Book/Report/Conference proceedingChapter

    3 Citations (Scopus)

    Abstract

    In this work, we address the question of how older adults may integrate information about the reliability of website information in their health-related searches. In two experiments, we compared three visual reliability indicator designs; an icon set, a simple graph and a textual list combined with website preview. Our results suggest that older adults can incorporate reliability indicators into their website judgments without significantly increasing decision time. The design of the visual indicators, however, significantly affects such ability.
    Original languageEnglish
    Title of host publicationCHI EA '14 CHI '14 Extended Abstracts on Human Factors in Computing Systems
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Pages2611-2616
    Number of pages6
    ISBN (Print)9781450324748
    DOIs
    Publication statusPublished - 26 Apr 2014
    Event32nd Annual ACM CHI Conference on Human Factors in Computing Systems - Metro Toronto Convention Centre, Toronto, Canada
    Duration: 26 Apr 20141 May 2014
    http://chi2014.acm.org/

    Conference

    Conference32nd Annual ACM CHI Conference on Human Factors in Computing Systems
    Abbreviated titleCHI 2014
    CountryCanada
    CityToronto
    Period26/04/141/05/14
    Internet address

    Fingerprint Dive into the research topics of 'Assisting older adults in assessing the reliability of health-related websites'. Together they form a unique fingerprint.

  • Cite this

    Stewart, C. D., Hanson, V. L., & Nind, T. J. (2014). Assisting older adults in assessing the reliability of health-related websites. In CHI EA '14 CHI '14 Extended Abstracts on Human Factors in Computing Systems (pp. 2611-2616). Association for Computing Machinery. https://doi.org/10.1145/2559206.2581243