Literature DB >> 21762715

Position representations lag behind targets in multiple object tracking.

Christina J Howard1, David Masom, Alex O Holcombe.   

Abstract

In the multiple object tracking (MOT) task, observers can typically keep track of up to four moving objects. Little is known however about the extent to which object motion is used by observers during MOT. For example, direction and speed might be used to anticipate future positions. We here ask to what extent position reports lag behind targets or instead correspond to extrapolated positions. Using a range of different motion trajectory patterns, observers tracked 1-4 targets among distracters and reported the final position of one of the targets. On average, reports corresponded to previous positions rather than the final position. This lag varied across conditions from around 10 to 70ms of the object's trajectory. Although some have suggested that extrapolation occurs during MOT, we find no evidence of anticipation of future positions of targets. The significant increase in lag with speed of the object is consistent with slow or intermittent updating of object positions during tracking. Crown
Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21762715     DOI: 10.1016/j.visres.2011.07.001

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  9 in total

1.  Why do people appear not to extrapolate trajectories during multiple object tracking? A computational investigation.

Authors:  Sheng-Hua Zhong; Zheng Ma; Colin Wilson; Yan Liu; Jonathan I Flombaum
Journal:  J Vis       Date:  2014-10-13       Impact factor: 2.240

2.  Influences of active control on attention allocation in MOT.

Authors:  Andrea Frielink-Loing; Arno Koning; Rob van Lier
Journal:  Atten Percept Psychophys       Date:  2022-01-11       Impact factor: 2.199

3.  Exploring the effectiveness of auditory, visual, and audio-visual sensory cues in a multiple object tracking environment.

Authors:  Julia Föcker; Polly Atkins; Foivos-Christos Vantzos; Maximilian Wilhelm; Thomas Schenk; Hauke S Meyerhoff
Journal:  Atten Percept Psychophys       Date:  2022-05-24       Impact factor: 2.157

4.  Goal-directed unequal attention allocation during multiple object tracking.

Authors:  Emily M Crowe; Christina J Howard; Angela S Attwood; Christopher Kent
Journal:  Atten Percept Psychophys       Date:  2019-07       Impact factor: 2.199

Review 5.  Multiple-target tracking in human and machine vision.

Authors:  Shiva Kamkar; Fatemeh Ghezloo; Hamid Abrishami Moghaddam; Ali Borji; Reza Lashgari
Journal:  PLoS Comput Biol       Date:  2020-04-09       Impact factor: 4.475

6.  The role of kinematic properties in multiple object tracking.

Authors:  Yang Wang; Edward Vul
Journal:  J Vis       Date:  2021-03-01       Impact factor: 2.240

7.  A dynamic noise background reveals perceptual motion extrapolation: The twinkle-goes illusion.

Authors:  Ryohei Nakayama; Alex O Holcombe
Journal:  J Vis       Date:  2021-10-05       Impact factor: 2.240

8.  Tracking multiple fish.

Authors:  Filip Děchtěrenko; Daniela Jakubková; Jiří Lukavský; Christina J Howard
Journal:  PeerJ       Date:  2022-03-03       Impact factor: 2.984

9.  Engagement of the motor system in position monitoring: reduced distractor suppression and effects of internal representation quality on motor kinematics.

Authors:  Christina J Howard; Hayley Boulton; Emily Brown; Craig P A Arnold; Matthew K Belmonte; Suvobrata Mitra
Journal:  Exp Brain Res       Date:  2018-03-15       Impact factor: 1.972

  9 in total

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