Literature DB >> 8008558

Local and global factors of similarity in visual search.

M von Grünau1, S Dubé, C Galera.   

Abstract

Effects of the similarity between target and distractors in a visual search task were investigated in several experiments. Both familiar (numerals and letters) and unfamiliar (connected figures in a 5 x 5 matrix) stimuli were used. The observer had to report on the presence or absence of a target among a variable number of homogeneous distractors as fast and as accurately as possible. It was found that physical difference had the same clear effect on processing time for familiar and for unfamiliar stimuli: processing time decreased monotonically with increasing physical difference. Distractors unrelated to the target and those related to the target by a simple transformation (180 degrees rotation, horizontal or vertical reflection) were also compared, while the physical difference was kept constant. For familiar stimuli, transformational relatedness increased processing time in comparison with that for unrelated stimulus pairs. It was further shown in a scaling experiment that this effect could be accounted for by the amount of perceived similarity of the target-distractor pairs. For unfamiliar stimuli, transformational relatedness did have a smaller and less pronounced effect. Various comparable unrelated distractors resulted in a full range of processing times. Results from a similarity scaling experiment correlated well with the outcome of the experiments with unfamiliar stimuli. These results are interpreted in terms of an underlying continuum of perceived similarity as the basis of the speed of visual search, rather than a dichotomy of parallel versus serial processing.

Mesh:

Year:  1994        PMID: 8008558     DOI: 10.3758/bf03205314

Source DB:  PubMed          Journal:  Percept Psychophys        ISSN: 0031-5117


  17 in total

1.  Grouping processes in visual search: effects with single- and combined-feature targets.

Authors:  G W Humphreys; P T Quinlan; M J Riddoch
Journal:  J Exp Psychol Gen       Date:  1989-09

2.  Guided search: an alternative to the feature integration model for visual search.

Authors:  J M Wolfe; K R Cave; S L Franzel
Journal:  J Exp Psychol Hum Percept Perform       Date:  1989-08       Impact factor: 3.332

3.  Parallel versus serial processing in visual search: further evidence from subadditive effects of visual quality.

Authors:  H Egeth; D Dagenbach
Journal:  J Exp Psychol Hum Percept Perform       Date:  1991-05       Impact factor: 3.332

4.  Search, similarity, and integration of features between and within dimensions.

Authors:  A Treisman
Journal:  J Exp Psychol Hum Percept Perform       Date:  1991-08       Impact factor: 3.332

5.  Perception of wholes and of their component parts: some configural superiority effects.

Authors:  J R Pomerantz; L C Sager; R J Stoever
Journal:  J Exp Psychol Hum Percept Perform       Date:  1977-08       Impact factor: 3.332

6.  Feature analysis in early vision: evidence from search asymmetries.

Authors:  A Treisman; S Gormican
Journal:  Psychol Rev       Date:  1988-01       Impact factor: 8.934

7.  Visual search and stimulus similarity.

Authors:  J Duncan; G W Humphreys
Journal:  Psychol Rev       Date:  1989-07       Impact factor: 8.934

8.  Texton gradients: the texton theory revisited.

Authors:  B Julesz
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

9.  A two-stage model of visual search.

Authors:  J E Hoffman
Journal:  Percept Psychophys       Date:  1979-04

10.  Visual search through color displays: effects of target-background similarity and background uniformity.

Authors:  E W Farmer; R M Taylor
Journal:  Percept Psychophys       Date:  1980-03
View more
  3 in total

1.  Hiding the Rabbit: Using a genetic algorithm to investigate shape guidance in visual search.

Authors:  Avi M Aizenman; Krista A Ehinger; Farahnaz A Wick; Ruggero Micheletto; Jungyeon Park; Lucas Jurgensen; Jeremy M Wolfe
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

Review 2.  Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development.

Authors:  Shanee Honig; Tal Oron-Gilad
Journal:  Front Psychol       Date:  2018-06-15

3.  Turning visual search time on its head.

Authors:  S P Arun
Journal:  Vision Res       Date:  2012-04-25       Impact factor: 1.886

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.