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Gaze position lagging behind scene content in multiple object tracking: Evidence from forward and backward presentations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F16%3A00466846" target="_blank" >RIV/68081740:_____/16:00466846 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/16:10336743

  • Result on the web

    <a href="http://dx.doi.org/10.3758/s13414-016-1178-4" target="_blank" >http://dx.doi.org/10.3758/s13414-016-1178-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3758/s13414-016-1178-4" target="_blank" >10.3758/s13414-016-1178-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gaze position lagging behind scene content in multiple object tracking: Evidence from forward and backward presentations

  • Original language description

    In everyday life, people often need to track moving objects. Recently, a topic of discussion has been whether people rely solely on the locations of tracked objects, or take their directions into account in multiple object tracking (MOT). In the current paper, we pose a related question: do people utilise extrapolation in their gaze behaviour, or, in more practical terms, should the mathematical models of gaze behaviour in an MOT task be based on objects’ current, past or anticipated positions? We used a data-driven approach with no a priori assumption about the underlying gaze model. We repeatedly presented the same MOT trials forward and backward and collected gaze data. After reversing the data from the backward trials, we gradually tested different time adjustments to find the local maximum of similarity. In a series of four experiments, we showed that the gaze position lagged by approximately 110 ms behind the scene content. We observed the lag in all subjects (Experiment 1). We further experimented to determine whether tracking workload or predictability of movements affect the size of the lag. Low workload led only to a small non-significant shortening of the lag (Experiment 2). Impairing the predictability of objects’ trajectories increased the lag (Experiments 3a and 3b). We tested our observations with predictions of a centroid model: we observed a better fit for a model based on the locations of objects 110 ms earlier. We conclude that mathematical models of gaze behaviour in MOT should account for the lags.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AN - Psychology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-23940S" target="_blank" >GA13-23940S: Personality and spontaneous brain activity during rest and movie watching: relation and structural determinants</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Attention, Perception & Psychophysics

  • ISSN

    1943-3921

  • e-ISSN

  • Volume of the periodical

    78

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    2456-2468

  • UT code for WoS article

    000387823300018

  • EID of the result in the Scopus database

    2-s2.0-84979704095