Demand characteristics in human–computer experiments

Olga Iarygina, Kasper Hornbæk, Aske Mottelson

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Abstract

    Demand characteristics refer to cues that can inform participants in experiments about the hypothesis and influence their behavior. They lead researchers to erroneously infer non-existing effects, undermining the experimental integrity of empirical studies. Despite a widespread acknowledgment of their confounding influence in experimental psychology, experiments involving humans and computers to a lesser extent consider effects of demand characteristics, as computerized protocols are thought to be immune to some experimenter biases. Furthermore, demand characteristics are considered to mainly effect subjective measures. As a result, demand characteristics often remain uncontrolled in studies involving computers, and in particular for objective measures such as performance.
    Original languageEnglish
    JournalInternational Journal of Human-Computer Studies
    Volume193
    Number of pages14
    ISSN1071-5819
    DOIs
    Publication statusPublished - Nov 2024

    Keywords

    • Demand characteristics
    • Experiments
    • Confounds
    • Bias
    • Validity
    • Human–computer interaction

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