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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

    RIV/00216208:11320/16:10336743

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    AN - Psychologie

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA13-23940S" target="_blank" >GA13-23940S: Osobnost a spontánní mozková aktivita během klidu a sledování filmu: vzájemný vztah a strukturní determinanty</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Attention, Perception & Psychophysics

  • ISSN

    1943-3921

  • e-ISSN

  • Svazek periodika

    78

  • Číslo periodika v rámci svazku

    8

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    13

  • Strana od-do

    2456-2468

  • Kód UT WoS článku

    000387823300018

  • EID výsledku v databázi Scopus

    2-s2.0-84979704095