The impending demise of the item in visual search

Johan Hulleman, Christian NL Olivers

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The way the cognitive system scans the visual environment for relevant information - visual search in short - has been a longstanding central topic in vision science. From its inception as a research topic, and despite a number of promising alternative perspectives, the study of visual search has been governed by the assumption that search proceeds on the basis of individual items (whether processed in parallel or not). This has led to the additional assumptions that shallow search slopes (at most a few tens of milliseconds per item for target-present trials) are most informative about the underlying process, and that eye movements are an epiphenomenon that can be safely ignored. We argue that the evidence now overwhelmingly favours an approach which takes fixations, not individual items as its central unit. Within fixations, items are processed in parallel, and the functional field of view determines how many fixations are needed. In this type of theoretical framework, there is a direct connection between target discrimination difficulty, fixations and RT measures. It therefore promises a more fundamental understanding of visual search by offering a unified account of both eye movement and manual response behaviour across the entire range of observed search efficiency, and provides new directions for research. A high-level conceptual simulation with just one free and four fixed parameters shows the viability of this approach.
    Original languageEnglish
    Pages (from-to)e132
    JournalBehavioral and Brain Sciences
    Volume40
    DOIs
    Publication statusPublished - 17 Dec 2015

    Keywords

    • Attention; Eye Movements; Fixations; Features; Functional Field of View; Oculomotor Control, Visual Search; Visual Selection

    Fingerprint

    Dive into the research topics of 'The impending demise of the item in visual search'. Together they form a unique fingerprint.

    Cite this