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Overview

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Visual Indexing Theory

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Multiple object tracking was first developed in 1988 by Zenon Pylyshyn in order to support visual indexing theory.[1] Visual indexing theory proposes a psychological mechanism that includes a set of indexes that can be associated with a visible object in the environment, and each index retains its association with an object even when that object moves or changes appearance.[2]

Visual indexing theory is also called FINST theory, which abbreviates ‘fingers of instantiation’. Pylyshyn uses the analogy of fingers as indexes in this theory.[3] If a person were to put his fingers on five different objects, and when the objects change location, the fingers still stay in contact with each object respectively. In other words, analogous to fingers attaching to objects, visual indexing theory suggests that individual objects have a small number of indexes that are also attached to the them. These indexes obtain unique relational properties to the objects, and are independent when the objects change locations, thus allowing these objects to be tracked when their locations move.

Development of multiple object tracking task

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MOT task is an attentional paradigm that is developed with several unique features in mind in order to test visual indexing theory. When MOT task was first designed, the researchers aimed to study how successfully humans were able to keep track of several moving objects, therefore these unique features are:

  • First, unlike many other paradigms that only require participant’s brief attentional shifts, MOT task requires continuous sustained attention for a prolonged period of time.[4]
  • Second, MOT task involves multiple objects to be tracked instead of focal attention on one target.[4]
  • Third, MOT task allows researchers to look at many aspects of visual attention, including selectivity, capacity limitation, sustained processing effort, etc.[5]
  • Lastly, another key feature is that MOT task is able demonstrate that our visual attention is spatially divided. [6]

Originally created to as a continuous attention demanding task in order to test the FINST theory, MOT task has been adopted and modified by many laboratories all over the globe and used in various ways.

Procedure

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Typical MOT task

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During a most typical MOT task, eight identical items, usually filled circles, are presented to a participant in the beginning of the task. Some of the items will be highlighted for a short period of time (by blinking or changing color) indicating that they are the targets to be tracked by the participant (a). Then after the targets reverting back to the identical state, all items will start moving around unpredictably, bumping into each other or the boarder (b). After a short period of time, these items will stop moving simultaneously. The participant then is asked either to identify all targets (full report) by clicking on the targets (c) or to identify if one specified item is one of the targets (partial report) (r1).

Modification

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Typical MOT task itself is quite straightforward, the most central result in the experiment conducted by Pylyshyn in 1988 is that it is possible for humans to keep track of multiple moving objects. However, the strength of MOT task lies in its versatility. [7]

By manipulating properties such as the color, shape of the moving target, or by changing the direction or speed of the movement of them, MOT task can become an entirely new attentional task to study many other aspects of cognitive and visual system, such as grouping effect, spatial memory, task switching, spatial resolution, visual occlusion, etc. More generally, MOT has been used as a paradigm to study the operation of attention in many different populations including children with autism spectrum disorder, etc.[6]

Significant findings

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Different properties of MOT tasks:

  • Up to a maximum of 5 moving objects can be tracked successfully, as a typical MOT task shows.[1] However, this capacity may be changed based on the speed of the moving targets. Up to 8 moving targets can be tracked if they are moving at a relatively low speed, while only 1 target can be tracked if they are moving at a high speed.[8]
  • Moving objects are still being tracked when they are behind an occluder. Under certain situations, they also can be tracked even if all targets disappear for a brief amount of time.[9]
  • A person is able to complete two MOT tasks simultaneously if the targets are presented to the participant in separate hemifields. In other words, participant is able to track twice as many moving objects if the objects are divided between the left and right hemifields.[10]
  • The properties of moving targets are not relevant to the performance of MOT task.[9] Also participants have a very hard time to detect any color or shape change during a mot task, even when targets are successfully tracked, they can have trouble recalling any property change during the moving phase.[11]

MOT task study among different populations:

  • MOT capacity can also be increased with training. Action video game players can perform better on MOT tasks, tracking more targets successfully compare to non-video game players.[12] Radar operators can also perform really well on MOT tasks.[13]
  • Children with autism spectrum disorder perform worse on MOT task compare to healthy children. Studies have suggested that children with autism may suffer from attentional task demand therefore impact the overall task performance. [14]
  • Compare to non-athletes, basketball players also perform much better on MOT task, suggesting that basketball players have high cognitive functions at allocating resources to multiple targets while inhibiting identical looking distractors.[15]
  • Out of the three groups (child group age 7- 12 years old, adult group age 18-40 years old, and older adult group age 65 years and older), Adult group have the best MOT task performance, followed by child group. Older adult performed the worst among the three groups. It is suggested that stereopsis, the ability to perceive depth, helps children and adults accomplish MOT task, but has no impact on older adults.

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References

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  1. ^ a b Pylyshyn, Z. W.; Storm, R. W. (1988). "Tracking multiple independent targets: Evidence for a parallel tracking mechanism". Spatial vision. 3(3): 179-197.
  2. ^ Fencsik, D. E.; Klieger, S. B.; Horowitz, T. S. (2007). "The role of location and motion information in the tracking and recovery of moving objects". Perception & Psychophysics. 69(4): 567-577.
  3. ^ Pylyshyn, Z. (1989). "The role of location indexes in spatial perception: A sketch of the FINST spatial-index model". Cognition. 32(1): 65-97.
  4. ^ a b Alvarez, G.A.; Scholl, B.J. (2005). "How does attention select and track spatially extended objects? New effects of attentional concentration and amplification". Journal of Experimental Psychology: General. 134(4): 461.
  5. ^ Styrkowiec, P.; Chrzanowska, A. (2018). "Higher visuo-Attentional Demands of Multiple Object Tracking (MOT) Lead to A Lower Precision in Pointing Movements". The Journal of general psychology. 145(2): 134-152.
  6. ^ a b Scholl, B.J (2009). "What have we learned about attention from multiple object tracking (and vice versa)". Computation, cognition, and Pylyshyn: 49-78.
  7. ^ Wang, C.; Hu., L.; Hu., S.; Xu, Y.; Zhang, X. (2018). "Functional specialization for feature-based and symmetry-based groupings in multiple object tracking". Cortex. 108: 265-275.
  8. ^ Alvarez, G.A.; Franconeri, S.L. (2007). "How many objects can you track?: Evidence for a resource-limited attentive tracking mechanism". Journal of vision. 7(13): 14-14.
  9. ^ a b Scholl, B.J.; Pylyshyn, Z.W. (1999). "Tracking multiple items through occlusion: Clues to visual objecthood". Cognitive psychology. 38(2): 259-290. Cite error: The named reference "Scholl 1999" was defined multiple times with different content (see the help page).
  10. ^ Alvarez, G.A.; Cavanagh, P. (2004). "Independent attention resources for the left and right visual hemifields". Journal of Vision. 4(8): 29-29.
  11. ^ Bahrami, B. (2003). "Object property encoding and change blindness in multiple object tracking". Visual cognition. 10(8): 949-963.
  12. ^ Eichenbaum, A.; Bavelier, D.; Green, C.S. (2014). "Video games: Play that can do serious good". American Journal of Play. 7(1): 50-72.
  13. ^ Allen, R.; Mcgeorge, P.; Pearson, D.; Milne, A. B. (2004). "Attention and expertise in multiple target tracking". Applied Cognitive Psychology. 18(3): 337-347.
  14. ^ O'hearn, K.; Franconeri, S.; Wright, C.; Minshew, N.; Luna, B. (2013). "The development of individuation in autism". Journal of Experimental Psychology: Human Perception and Performance. 39(2): 494.
  15. ^ Qiu, F.; Pi, Y.; Liu, K.; Zhu, H.; Li, X.; Zhang, J.; Wu, Y. (2019). "Neural efficiency in basketball players is associated with bidirectional reductions in cortical activation and deactivation during multiple-object tracking task performance". Biological psychology.
  16. ^ Plourde, M.; Corbeil, M. E.; Faubert, J. (2017). "Effect of age and stereopsis on a multiple-object tracking task". PloS one. 12(12): e0188373.