scholarly journals A model that adopts human fixations explains individual differences in multiple object tracking

Cognition ◽  
2020 ◽  
Vol 205 ◽  
pp. 104418
Author(s):  
Aditya Upadhyayula ◽  
Jonathan Flombaum
Keyword(s):  
Individual Differences ◽  
Object Tracking ◽  
Multiple Object Tracking ◽  
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 Individual Differences in Visual Attention: A Short, Reliable, Open Source, and Multilingual Test of Multiple Object Tracking in PsychoPy

2020 ◽  
Author(s):  
Hauke S. Meyerhoff ◽  
Frank Papenmeier
Keyword(s):  
Individual Differences ◽  
Visual Attention ◽  
Object Tracking ◽  
Open Source ◽  
Multiple Object Tracking ◽  
Object Motion ◽  
Laboratory Research ◽  
Multiple Object ◽  
Psychometric Measures ◽  
Interesting Approach

Individual differences in attentional abilities provide an interesting approach in studying visual attention as well as the relation of attention to other psychometric measures. However, recent research has demonstrated that many tasks from experimental research are not suitable for individual differences research as they fail to capture these differences reliably. Here, we provide a test for individual differences in visual attention which relies on the multiple object tracking task (MOT). This test captures individual differences reliably in 6-15 minutes. Within the task the participants have to maintain a set of targets (among identical distractors) across an interval of object motion. It captures the efficiency of attentional deployment. Importantly, this test was explicitly designed and tested for reliability under conditions that match those of most laboratory research (restricted sample of students, approximately n = 50). The test is free to use and runs fully under open source software. In order to facilitate the application of the test, we have translated it into 16 common languages (Chinese, Danish, Dutch, English, Finnish, French, German, Italian, Japanese, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Turkish). The test can be downloaded at https://osf.io/qy6nb/. We hope that this MOT test supports researchers whose field of study requires capturing individual differences in visual attention reliably.

scholarly journals Individual differences in multiple object tracking, attentional cueing, and age account for variability in the capacity of audiovisual integration

2020 ◽  
Author(s):  
Jonathan Wilbiks ◽  
Annika Beatteay
Keyword(s):  
Individual Differences ◽  
Object Tracking ◽  
Memory Task ◽  
Multiple Object Tracking ◽  
Audiovisual Integration ◽  
Future Research ◽  
Attention Network Test ◽  
Test Experiment ◽  
Multiple Object ◽  
Health Differences

There has been a recent increase in individual differences research within the field of audio-visual perception (Spence & Squire, 2003), and furthering the understanding of audiovisual integration capacity with an individual differences approach is an important facet within this line of research. Across four experiments, participants were asked to complete an audiovisual integration capacity task (cf. Van der Burg et al., 2013; Wilbiks & Dyson, 2016; 2018), along with differing combinations of additional perceptual tasks. Experiment 1 employed a multiple object tracking task and a visual working memory task. Experiment 2 compared performance on the capacity task with that of the attention network test. Experiment 3 examined participants’ focus in space through a Navon task and vigilance through time. Having completed this exploratory work, in Experiment 4 we collected data again from the tasks that were found to correlate significantly across the first three experiments and entered them into a regression model to predict capacity. The current research provides a preliminary explanation of the vast individual differences seen in audiovisual integration capacity in previous research, showing that by considering an individual’s multiple object tracking span, focus in space, and attentional factors, we can account for up to 34.3% of the observed variation in capacity. Future research should seek to examine higher-level differences between individuals that may contribute to audiovisual integration capacity, including neurodevelopmental and mental health differences.

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.

Location and identity are entangled in multiple-object tracking

2010 ◽  
Author(s):  
Todd S. Horowitz ◽  
Michael A. Cohen ◽  
Yair Pinto ◽  
Piers D. L. Howe
Keyword(s):  
Object Tracking ◽  
Multiple Object Tracking ◽  
Multiple Object
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