scholarly journals Exploring the effects of crowding in multiple object tracking using a dual-task paradigm

2010 ◽  
Vol 6 (6) ◽  
pp. 770-770
Author(s):  
M. N. Tombu ◽  
A. E. Seiffert
Psihologija ◽  
2015 ◽  
Vol 48 (3) ◽  
pp. 289-301 ◽  
Author(s):  
Ian Thornton ◽  
Todd Horowitz

While the relationship between action and focused attention has been well-studied, less is known about the ability to divide attention while acting. In the current paper we explore this issue using the multiple object tracking (MOT) paradigm (Pylyshyn & Storm, 1988). We asked whether planning and executing a display-relevant action during tracking would substantially affect the ability track and later identify targets. In all trials the primary task was to track 4 targets among a set of 8 identical objects. Several times during each trial, one object, selected at random, briefly changed colour. In the baseline MOT trials, these changes were ignored. During active trials, each changed object had to be quickly touched. On a given trial, changed objects were either from the tracking set or were selected at random from all 8 objects. Although there was a small dual-task cost, the need to act did not substantially impair tracking under either touch condition.


Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge

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.


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

Author(s):  
Jinlong Peng ◽  
Yueyang Gu ◽  
Yabiao Wang ◽  
Chengjie Wang ◽  
Jilin Li ◽  
...  

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