Components of visual bias: a multiplicative hypothesis

    21 Citations (Scopus)

    Abstract

    Attentional selection can be viewed as having two aspects: selection with respect to particular objects and selection with respect to particular categories. Both aspects are mathematically modeled in the theory of visual attention (TVA). In this paper, we expand the rate equation of the TVA and propose that the visual bias toward seeing an object x as a member of category i is a product of three factors: the expectancy (prior probability) of being presented with members of category i, the subjective importance (utility) of seeing objects in category i as members of that category, and the general level of alertness. Together, the three factors also determine the level of arousal in the visual system. The hypothesized multiplicative interaction between the three components of visual bias seems consistent with the function of an ideal observer and also paves the way for a Bayesian interpretation of the TVA.

    Original languageEnglish
    JournalAnnals of the New York Academy of Sciences
    Volume1339
    Pages (from-to)116-124
    Number of pages9
    ISSN0077-8923
    DOIs
    Publication statusPublished - 1 Mar 2015

    Keywords

    • Faculty of Social Sciences
    • visual attention
    • perceptual bias
    • feature-based attention
    • Bayesian theory
    • TVA

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