Multiple Object Tracking

Platform: Unity · French, Italian · verified today

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Description

As part of the CRAB (Computerized Reading-related Assessment Battery), the Multiple Object Tracking (MOT) task assesses selective and divided visual attention by requiring participants to track multiple moving targets simultaneously among distractors. Performance indexes attentional tracking capacity — that is, the number of objects the visual system can individuate concurrently. This digital-based task targets visual attentional processes that have been associated with reading-related cognitive skills in children, particularly in the context of decoding efficiency.

Contact & Lab

Lab

Brain and Learning Lab

unige.ch

Principal investigator

Daphné Bavelier

University of Geneva

Task contact

Angela.Pasqualotto@unige.ch

Contributors

Angela Pasqualotto

University of Geneva

Conceptualization

Hugo Farajallah

University of Geneva

Software

Zeno Menestrina

University of Geneva

Software

Citation

Pylyshyn, Z. W., & Storm, R. W. (1988). Tracking multiple independent targets: Evidence for a parallel tracking mechanism. Spatial Vision, 3(3), 179–197. https://doi.org/10.1163/156856888X00122

Credits

Developed at the Brain and Learning Lab (University of Geneva) under Angela Pasqualotto (task conception) and Zeno Menestrina (software developer) as part of the CRAB (Computerized Reading-related Assessment Battery) project. Software updated by Hugo Farajallah and Zeno Menestrina (2025). Adapted from Unity to HTML/JS by Hugo Farajallah in 2026.

Domains

Attention

Visual Processing & Memory

Part of suite:

CRAB

Target Population

Age Categories

primary

Clinical Status

non-clinical

Additional Notes

Children learning to read

Languages

French

Italian

Run under

Engine

Unity

Operating system

Windows · Mac · Android

Format

Online + in-lab

Modalities

behavioral

Task Outputs

What it measures

Selective and divided visual attention and attentional tracking capacity

Output formats

custom

Unity WebGL internal data collection

Experimental design

Trial-based

Key measures for analysis

Tracking accuracy by number of targets
Hit rate and false alarm rate
Maximum number of objects successfully tracked

Recorded variables

Variable	Role	Type	Description	Unit
`trial_id`	metadata	number	Unique trial identifier	-
`num_targets`	independent	number	Number of targets to track	-
`num_distractors`	independent	number	Number of distractor objects	-
`accuracy`	dependent	boolean	Whether all targets were correctly identified	-
`hits`	dependent	number	Number of correctly identified targets	-
`false_alarms`	dependent	number	Number of distractors incorrectly selected	-

Provenance

Source: nccr-seed

Fetched: 2025-11-17

Last verified: 2026-07-17 — passed

Other tasks in this suite

CRAB

Barrage

Corsi Block-Tapping

Rhyme Recognition

Vocabulary

Visual Orthography

Decoding

Phoneme Deletion

Text Reading

Quick Actions

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Web build

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Additional Information

Created Date

2025-11-17

Last Modified

2026-07-17