Attentional capture in multiple object tracking

被引:1
|
作者
Pichlmeier, Sebastian [1 ]
Pfeiffer, Till [1 ]
机构
[1] Karlsruhe Univ Educ, Inst Psychol, Erzberger Str 119, D-76133 Karlsruhe, Germany
来源
JOURNAL OF VISION | 2021年 / 21卷 / 08期
关键词
visual attention; multiple object tracking (MOT); attentional capture; onset distractor; MULTIELEMENT VISUAL TRACKING; PERCEPTUAL LOAD; SELECTIVE ATTENTION; TOP-DOWN; PUZZLING FINDINGS; STIMULUS-DRIVEN; DISTRACTORS; CONTINGENT; SET; INFORMATION;
D O I
10.1167/jov.21.8.16
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Attentional processes are generally assumed to be involved in multiple object tracking (MOT). The attentional capture paradigm is regularly used to study conditions of attentional control. It has up to now not been used to assess influences of sudden onset distractor stimuli in MOT. We investigated whether attentional capture does occur in MOT: Are onset distractors processed at all in dynamic attentional tasks? We found that sudden onset distractors were effective in lowering probe detection, thus demonstrating attentional capture. Tracking performance as dependent measure was not affected. The attentional capture effect persisted in conditions of higher tracking load (Experiment 2) and was dramatically increased in lower presentation frequency of the onset distractor (Experiment 3). Tracking performance was shown to suffer only when onset distractors were presented serially with very short time gaps in between, thus effectively disturbing re-engaging attention on the tracking set (Experiment 4). We discuss that rapid disand re-engagement of the attention process on target objects and an additional more basic process that continuously provides location information allow managing strong disruptions of attention during tracking.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 50 条
  • [21] Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task
    Wahn, Basil
    Ferris, Daniel P.
    Hairston, W. David
    Koenig, Peter
    PLOS ONE, 2016, 11 (12):
  • [22] Spatio-temporal dynamics of attentional selection stages during multiple object tracking
    Merkel, Christian
    Hopf, Jens-Max
    Schoenfeld, Mircea Ariel
    NEUROIMAGE, 2017, 146 : 484 - 491
  • [23] The influence of multiple cues on attentional capture
    Carroll, M
    McLean, JP
    AUSTRALIAN JOURNAL OF PSYCHOLOGY, 2005, 57 : 47 - 47
  • [24] ATTENTIONAL CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT TRACKING
    Kong, Xiangdong
    Zhang, Baochang
    Yue, Lei
    Xiao, Zehao
    2018 INTEGRATED COMMUNICATIONS, NAVIGATION, SURVEILLANCE CONFERENCE (ICNS), 2018,
  • [25] Attentional Convolutional Neural Networks for Object Tracking
    Kong, Xiangdong
    Cao, Xianbin
    2018 INTEGRATED COMMUNICATIONS, NAVIGATION, SURVEILLANCE CONFERENCE (ICNS), 2018,
  • [26] Weighted attentional blocks for probabilistic object tracking
    Wu, Hefeng
    Li, Guanbin
    Luo, Xiaonan
    VISUAL COMPUTER, 2014, 30 (02): : 229 - 243
  • [27] Weighted attentional blocks for probabilistic object tracking
    Hefeng Wu
    Guanbin Li
    Xiaonan Luo
    The Visual Computer, 2014, 30 : 229 - 243
  • [28] Template Attentional Siamese Network for Object Tracking
    Gao, Junyan
    Yang, Zhenguo
    Liu, Wenyin
    PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON VIDEO AND IMAGE PROCESSING (ICVIP 2018), 2018, : 218 - 221
  • [29] Interactive object tracking modulates attentional distribution
    Koning, A. R.
    Leenders, M.
    Wolk, C.
    van Lier, R.
    PERCEPTION, 2014, 43 (01) : 29 - 30
  • [30] Improving Multiple Object Tracking with Single Object Tracking
    Zheng, Linyu
    Tang, Ming
    Chen, Yingying
    Zhu, Guibo
    Wang, Jinqiao
    Lu, Hanqing
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 2453 - 2462