scholarly journals Effects of task difficulty on multiple object tracking performance

2010 ◽  
Vol 7 (9) ◽  
pp. 898-898
Author(s):  
K. Bettencourt ◽  
D. C. Somers
Keyword(s):  
Object Tracking ◽  
Task Difficulty ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

Multiple-Object Tracking

2011 ◽  
Vol 58 (3) ◽  
pp. 196-200 ◽  
Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge
Keyword(s):  
Object Tracking ◽  
Cognitive Processes ◽  
Spatial Location ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

scholarly journals Action Video Game Experience Does Not Predict Multiple Object Tracking Performance

2014 ◽  
Vol 14 (10) ◽  
pp. 353-353 ◽  
Author(s):  
C. Stothart ◽  
W. Boot ◽  
D. Simons ◽  
A. Beyko
Keyword(s):  
Object Tracking ◽  
Video Game ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Action Video Game ◽  
Multiple Object

scholarly journals Gamma coherence mediates interhemispheric integration during multiple object tracking

2020 ◽  
Vol 123 (5) ◽  
pp. 1630-1644
Author(s):  
Nicholas S. Bland ◽  
Jason B. Mattingley ◽  
Martin V. Sale
Keyword(s):  
Individual Differences ◽  
Object Tracking ◽  
Objective Measure ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Eeg Coherence ◽  
Multiple Object ◽  
Predicting Performance ◽  
Trial Basis ◽  
Gamma Coherence

Using a multiple object tracking paradigm, we were able to manipulate the need for interhemispheric integration on a per-trial basis, while also having an objective measure of integration efficacy (i.e., tracking performance). We show that tracking performance reflects a cost of integration, which correlates with individual differences in interhemispheric EEG coherence. Gamma coherence appears to uniquely benefit between-hemifield tracking, predicting performance both across participants and across trials.

scholarly journals Simulating multiple object tracking performance using a Kalman filter model

2015 ◽  
Vol 15 (12) ◽  
pp. 465
Author(s):  
Gregory Zelinsky ◽  
Ashley Sherman ◽  
Tomás Yago
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Filter Model ◽  
Multiple Object

Distractor Locations Influence Multiple Object Tracking Beyond Interobject Spacing

2015 ◽  
Vol 62 (3) ◽  
pp. 170-180 ◽  
Author(s):  
Hauke S. Meyerhoff ◽  
Frank Papenmeier ◽  
Georg Jahn ◽  
Markus Huff
Keyword(s):  
Object Tracking ◽  
Target Tracking ◽  
Moving Objects ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Displacement Effect ◽  
Inhibitory Processes ◽  
Multiple Object ◽  
Displacement Angle

Human observers are able to keep track of several independently moving objects among other objects. Within theories of multiple object tracking (MOT), distractors are assumed to influence tracking performance only by their distance toward the next target. In order to test this assumption, we designed a variant of the MOT paradigm that involved spatially arranged target-distractor pairs and sudden displacements of distractors during a brief flash. Critically, these displacements maintained target-distractor spacing. Our results show that displacing distractors hurts tracking performance (Experiment 1). Importantly, target-distractor confusions occur within target-distractor pairs with displaced distractors (Experiment 2). This displacement effect increases with an increasing displacement angle (Experiment 3) but is equal at different distances between target and distractor (Experiment 4). This finding illustrates that distractors influence tracking performance beyond pure interobject spacing. We discuss how inhibitory processes as well as relations between targets and distractors might interfere with target tracking.

The effects of colour complexity and similarity on multiple object tracking performance

2018 ◽  
Vol 72 (8) ◽  
pp. 1903-1912 ◽  
Author(s):  
Chundi Wang ◽  
Luming Hu ◽  
Thomas Talhelm ◽  
Xuemin Zhang
Keyword(s):  
Working Memory ◽  
Object Tracking ◽  
Visual Working Memory ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Surface Features ◽  
Attentional Resources ◽  
Multiple Object ◽  
Target Set ◽  
Distinct Features

Surface features can be used during multiple object tracking (MOT). Previous studies suggested that surface features might be stored in visual working memory to assist object tracking, and attentive tracking and visual working memory share common attentional resources. However, it is still unknown whether features of both the target and distractor sets will be stored, or features of the target and distractor sets are processed differently. Moreover, how feature distinctiveness and similarity between the target and distractor sets affect tracking and allocation of attentional resources are still not clear. First, we manipulated the colour complexity of the target set (CT) and the colour complexity of the distractor set (CD), respectively, in two experiments, where colours of the target and distractor sets were always distinct, to test their effects on tracking performance. If features of the target and distractor sets are stored, manipulating feature complexity of the target and distractor sets would significantly affect tracking performance. Second, this study tested whether tracking performance was affected by different levels of distinctiveness between the target and distractor sets (DTD) and explored how distinctiveness affected tracking and allocation of attentional resources. Results showed that DTD and CT significantly affect tracking performance and allocation of attentional resources, but not CD. These results indicated that when targets and distractors have distinct features, only the surface features of the targets are maintained in visual working memory. And when targets have the same colour with the distractors, they are more difficult and consume more attentional resources to track.

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