Literature DB >> 24166857

Saccades toward the target are planned as sequences rather than as single steps.

Jelmer P De Vries1, Ignace T C Hooge, Frans A J Verstraten.   

Abstract

To find a target during visual search, observers often need to make multiple eye movements, which results in a scan path. It is an open question whether the saccade destinations in scan paths are planned ahead. In the two experiments reported here, we investigated this question by focusing on the observer's ability to deviate from potentially planned paths. In the first experiment, the stimulus configuration could change during the initial saccade. We found that the observer's ability to deviate from potentially planned paths crucially depended on whether altered configurations could be processed with sufficient rapidity. In a follow-up experiment, we asked whether planned paths can include more than two saccade destinations. Investigating the influence of potentially planned paths on a secondary task demonstrated that planned paths can include at least three saccade destinations. Together, these experiments provide the first evidence of scan-path planning in visual search.

Keywords:  eye movements; spatial memory; visual attention; visual perception; visual search

Mesh:

Year:  2013        PMID: 24166857     DOI: 10.1177/0956797613497020

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  7 in total

1.  Theoretical perspectives on active sensing.

Authors:  Daniel M Wolpert; Máté Lengyel; Scott Cheng-Hsin Yang
Journal:  Curr Opin Behav Sci       Date:  2018-10

2.  The Concurrent Programming of Saccades.

Authors:  Eugene McSorley; Rachel McCloy; Louis Williams
Journal:  PLoS One       Date:  2016-12-22       Impact factor: 3.240

Review 3.  The programming of sequences of saccades.

Authors:  Eugene McSorley; Iain D Gilchrist; Rachel McCloy
Journal:  Exp Brain Res       Date:  2019-02-06       Impact factor: 1.972

4.  The role of fixation disengagement in the parallel programming of sequences of saccades.

Authors:  Eugene McSorley; Iain D Gilchrist; Rachel McCloy
Journal:  Exp Brain Res       Date:  2019-09-17       Impact factor: 1.972

5.  Human visual search follows a suboptimal Bayesian strategy revealed by a spatiotemporal computational model and experiment.

Authors:  Yunhui Zhou; Yuguo Yu
Journal:  Commun Biol       Date:  2021-01-04

6.  Modeling eye movement in dynamic interactive tasks for maximizing situation awareness based on Markov decision process.

Authors:  Shuo Ma; Jianbin Guo; Shengkui Zeng; Haiyang Che; Xing Pan
Journal:  Sci Rep       Date:  2022-08-02       Impact factor: 4.996

7.  Multi-step planning of eye movements in visual search.

Authors:  David Hoppe; Constantin A Rothkopf
Journal:  Sci Rep       Date:  2019-01-15       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.