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

Lukavský, Jiřı́; Děchtěrenko, Filip

doi:10.3758/s13414-016-1178-4

Cited by 6 publications

(6 citation statements)

References 49 publications

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“…It is suggested that the 100-ms lag may reflect oculomotor limits. Generally speaking, the study [18] failed to find evidence in support of motion extrapolation in MOT, as in all tested conditions gaze lagged behind the targets.…”

Section: Eye Behavior During Motmentioning

confidence: 92%

“…Another interesting question about target-looking is that when observers look at targets, whether the eyes extrapolate target motion and land on a position where the target is expected to go to. Lukavský and Děchtěrenko [18] examined this question yet failed to find evidence in support of motion extrapolation in MOT. Instead, they observed that in all the tested conditions the gaze lagged behind the targets.…”

Section: Eye Behavior During Motmentioning

confidence: 99%

“…Using the logic described above, they [18] observed in Experiment 1 (20 participants) an average lag of 114 ms in gaze behavior with respect to object motion, with all participants demonstrating a lag (from 52 ms to 173 ms). In Experiment 2 (27 participants), they manipulated target set-size (2 or 4) to investigate whether track load affects motion extrapolation.…”

Section: Eye Behavior During Motmentioning

confidence: 99%

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Eye Behavior During Multiple Object Tracking and Multiple Identity Tracking

Hyönä

Oksama

2019

Vision

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We review all published eye-tracking studies to date that have used eye movements to examine multiple object (MOT) or multiple identity tracking (MIT). In both tasks, observers dynamically track multiple moving objects. In MOT the objects are identical, whereas in MIT they have distinct identities. In MOT, observers prefer to fixate on blank space, which is often the center of gravity formed by the moving targets (centroid). In contrast, in MIT observers have a strong preference for the target-switching strategy, presumably to refresh and maintain identity-location bindings for the targets. To account for the qualitative differences between MOT and MIT, two mechanisms have been posited, a position tracking (MOT) and an identity tracking (MOT & MIT) mechanism. Eye-tracking studies of MOT have also demonstrated that observers execute rescue saccades toward targets in danger of becoming occluded or are about to change direction after a collision. Crowding attracts the eyes close to it in order to increase visual acuity for the crowded objects to prevent target loss. It is suggested that future studies should concentrate more on MIT, as MIT more closely resembles tracking in the real world.

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Section: Eye Behavior During Motmentioning

confidence: 92%

Section: Eye Behavior During Motmentioning

confidence: 99%

Section: Eye Behavior During Motmentioning

confidence: 99%

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Eye Behavior During Multiple Object Tracking and Multiple Identity Tracking

Hyönä

Oksama

2019

Vision

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“…In position monitoring and tracking tasks, some report extrapolation of the representation of moving targets (e.g. Atsma et al 2012;Iordanescu et al 2009), whereas others report attention lagging behind the stimulus (Lukavský and Děchtěrenko 2016). The position monitoring variant of the MOT task (Howard and Holcombe 2008;Howard et al 2011Howard et al , 2017 is uniquely able to test for the presence of perceptual lag, that is to say the tendency of participants to report positions from the recent past instead of the most up-to-date position of targets.…”

Section: Introductionmentioning

confidence: 99%

Engagement of the motor system in position monitoring: Reduced distractor suppression and effects of internal representation quality on motor kinematics

Howard¹,

Boulton²,

Brown³

et al. 2018

Preprint

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The position monitoring task is a measure of divided spatial attention in which participants track the changing positions of one or more objects, attempting to represent positions with as much precision as possible. Typically precision of representations declines with each target object added to participants' attention load. Since the motor system requires precise representations of changing target positions, we investigated whether position monitoring would be facilitated by increasing engagement of the motor system. Using motion capture, we recorded the positions of participants' index finger during pointing responses. Participants attempted to monitor the changing positions of between one and four target discs as they moved randomly around a large projected display. After a period of disc motion, all discs disappeared and participants were prompted to report the final position of one of the targets, either by mouse click or by pointing to the final perceived position on the screen. For mouse-click responses, precision declined with attentional load. For pointing responses, precision declined only up to three targets and remained at the same level for four targets, suggesting obligatory attention to all four objects for loads above two targets. Kinematic profiles for pointing responses for highest and lowest loads showed greater motor adjustments during the point, demonstrating that, like external environmental task demands, the quality of internal representations affects motor kinematics. Specifically, these adjustments reflect the difficulty of both pointing to very precisely represented locations as well as keeping representations distinct from one another.

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“…In position monitoring and tracking tasks, some report extrapolation of the representation of moving targets (e.g. Atsma et al 2012 ; Iordanescu et al 2009 ), whereas others report attention lagging behind the stimulus (Lukavský and Děchtěrenko 2016 ). The position monitoring variant of the MOT task (Howard and Holcombe 2008 ; Howard et al 2011 , 2017 ) is uniquely able to test for the presence of perceptual lag, that is to say the tendency of participants to report positions from the recent past instead of the most up-to-date position of targets.…”

Section: Introductionmentioning

confidence: 99%

Engagement of the motor system in position monitoring: reduced distractor suppression and effects of internal representation quality on motor kinematics

et al. 2018

View full text Add to dashboard Cite

The position monitoring task is a measure of divided spatial attention in which participants track the changing positions of one or more objects, attempting to represent positions with as much precision as possible. Typically precision of representations declines with each target object added to participants’ attention load. Since the motor system requires precise representations of changing target positions, we investigated whether position monitoring would be facilitated by increasing engagement of the motor system. Using motion capture, we recorded the positions of participants’ index finger during pointing responses. Participants attempted to monitor the changing positions of between one and four target discs as they moved randomly around a large projected display. After a period of disc motion, all discs disappeared and participants were prompted to report the final position of one of the targets, either by mouse click or by pointing to the final perceived position on the screen. For mouse click responses, precision declined with attentional load. For pointing responses, precision declined only up to three targets and remained at the same level for four targets, suggesting obligatory attention to all four objects for loads above two targets. Kinematic profiles for pointing responses for highest and lowest loads showed greater motor adjustments during the point, demonstrating that, like external environmental task demands, the quality of internal representations affects motor kinematics. Specifically, these adjustments reflect the difficulty of both pointing to very precisely represented locations as well as keeping representations distinct from one another.

show abstract

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

Cited by 6 publications

References 49 publications

Eye Behavior During Multiple Object Tracking and Multiple Identity Tracking

Eye Behavior During Multiple Object Tracking and Multiple Identity Tracking

Engagement of the motor system in position monitoring: Reduced distractor suppression and effects of internal representation quality on motor kinematics

Engagement of the motor system in position monitoring: reduced distractor suppression and effects of internal representation quality on motor kinematics

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