The HED Task Catalog is under development. IDs are not stable until formal release. Comments are welcome at github.com/hed-standard/hed-task/issues.

Multiple Object Tracking Task

HED task ID: hedtsk_multiple_object_tracking

Family: Visual search and tracking tasks

Also known as: MOT, Pylyshyn Tracking, Multiple Object Tracking

Participants track a subset of identical moving objects among distractors for several seconds; tracking accuracy indexes sustained multifocal attention.

Description

In the Multiple Object Tracking task, participants view a set of identical objects (typically 8–16 circles), a subset of which are briefly designated as targets (by flashing or color). All objects then move independently and randomly for several seconds, and participants must track the targets among distractors. After movement stops, participants identify which objects were the original targets. Performance is measured as tracking accuracy as a function of target load (typically 1–5 targets). The task provides a direct index of how many individual objects can be simultaneously tracked—a measure of visual attention capacity, estimated at approximately 4 objects.

Inclusion test

An experiment is an instance of this task when its procedure matches, it manipulates at least one of the listed variables, and it records at least one of the listed measures.

Procedure

A set of identical objects (dots) move randomly; a subset is designated as targets. After the targets are highlighted, all dots move for several seconds, then participants identify which dots were targets.

Manipulation

Number of targets; number of distractors; speed of motion; tracking duration.

Measurement

Tracking accuracy (proportion correct); capacity estimate (Pylyshyn’s 4±1); effects of load on accuracy.

Variations

Named versions that change what the participant experiences or does. The identifier of a variation is hedvar_<task>__<variation>.

Variation

Description

Justification

Standard MOT

hedvar_multiple_object_tracking__standard_mot

Track 1–5 targets among 8–16 total objects; measure accuracy by load.

Canonical: track subset of identical moving dots

Identity-MOT (MIT)

hedvar_multiple_object_tracking__identity_mot_mit

Each object has a unique identity; report which identity is at each location after tracking.

Track identity features of moving objects; adds identity memory demand

3D MOT (NeuroTracker)

hedvar_multiple_object_tracking__3d_mot_neurotracker

Objects moving in simulated 3D space; used in sports training and clinical assessment.

Three-dimensional display with depth; different spatial processing

MOT with Occlusion

hedvar_multiple_object_tracking__mot_with_occlusion

Objects briefly disappear behind occluders; tests object persistence during tracking.

Objects temporarily hidden; requires inference of hidden trajectories

Probe-Based MOT

hedvar_multiple_object_tracking__probe_based_mot

Probe appears on one object during tracking; participant judges target vs. distractor.

Probe object after tracking to test spatial knowledge; different response method

Hierarchical MOT

hedvar_multiple_object_tracking__hierarchical_mot

Targets embedded within groups; examines grouping effects on tracking.

Nested groups of objects tracked at multiple levels; different attentional structure

Auditory MOT Analogs

hedvar_multiple_object_tracking__auditory_mot_analogs

Track sound sources moving in auditory space.

Tracking moving sounds; different sensory modality

Cognitive processes

This task is designed to engage the following processes:

Key references

  • Pylyshyn, Z. W., & Storm, R. W. (1988). Tracking multiple independent targets: Evidence for a parallel tracking mechanism. Spatial Vision, 3(3), 179–197. (DOI, PubMed)

  • Cavanagh, P., & Alvarez, G. A. (2005). Tracking multiple targets with multifocal attention. Trends in Cognitive Sciences, 9(7), 349–354. (DOI, PubMed)

Further references

  • Meyerhoff, H. S., Papenmeier, F., & Huff, M. (2017). Studying visual attention using the multiple object tracking paradigm: A tutorial review. Attention, Perception, & Psychophysics, 79(5), 1255–1274. (DOI, PubMed)

  • Oksama, L., & Hyönä, J. (2016). Position tracking and identity tracking are separate systems: Evidence from eye movements. Cognition, 146, 393–409. (DOI, PubMed)

  • 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. (DOI, PubMed)

  • Drew, T., & Vogel, E. K. (2008). Neural measures of individual differences in selecting and tracking multiple moving objects. Journal of Neuroscience, 28(16), 4183–4191. (DOI, PubMed)