Effects of element features on discrimination of relative numerosity: comparison of search symmetry and asymmetry pairs View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-01

AUTHORS

Midori Tokita, Akira Ishiguchi

ABSTRACT

We investigated effects of element features on statistical description of relative frequency. In Experiment 1, we manipulated the proportion of two elements types forming a set and the set size and measured response time and the accuracy of relative numerosity discrimination. We did this with element pairs that had been shown to produce search symmetries or asymmetries in visual search task. We found that pop-out elements in the search asymmetry pair were numerically overestimated. In Experiment 2, we used sets of circles and circles with gaps to eliminate the possibility that the overestimation found in Experiment 1 was due to larger contour length of pop-out elements. In Experiment 3, we manipulated proportion of two elements types and the set size to measure point of subjective equality (PSE) and the slopes of z-score functions in relative numerosity discrimination to support the results of Experiments 1 and 2. The results generally showed that the proportion of pop-out elements is likely to be overestimated and that set size had no effect, suggesting that the types of features characterized by visual search could influence the accuracy and precision in discrimination of relative numerosity. More... »

PAGES

99

References to SciGraph publications

  • 2004-11. Transfer of calibration in length perception by dynamic touch in ATTENTION, PERCEPTION, & PSYCHOPHYSICS
  • 1991-12. Size invariance in visual number discrimination in PSYCHOLOGICAL RESEARCH
  • 2001-04. Asymmetries in visual search: An introduction in ATTENTION, PERCEPTION, & PSYCHOPHYSICS
  • 2005-08. Stimulus context modulates competition in human extrastriate cortex in NATURE NEUROSCIENCE
  • 1967-09. Time required for Judgements of Numerical Inequality in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00426-008-0183-1

    DOI

    http://dx.doi.org/10.1007/s00426-008-0183-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1012018807

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19009308


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Psychology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Psychology and Cognitive Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Decision Making", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Discrimination (Psychology)", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Form Perception", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pattern Recognition, Visual", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Perceptual Distortion", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Photic Stimulation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reaction Time", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Size Perception", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Ochanomizu University", 
              "id": "https://www.grid.ac/institutes/grid.412314.1", 
              "name": [
                "Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tokita", 
            "givenName": "Midori", 
            "id": "sg:person.01131244633.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131244633.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ochanomizu University", 
              "id": "https://www.grid.ac/institutes/grid.412314.1", 
              "name": [
                "Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ishiguchi", 
            "givenName": "Akira", 
            "id": "sg:person.011400407201.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011400407201.42"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/acp.714", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001456428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0609485103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002392699"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/2151519a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005117491", 
              "https://doi.org/10.1038/2151519a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/cercor/bhm058", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005306941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/13506280500195250", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014219334"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.3758/bf03194998", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018691612", 
              "https://doi.org/10.3758/bf03194998"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0896-6273(03)00097-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019087107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0042-6989(93)90020-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020846471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0042-6989(93)90020-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020846471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0010-0277(02)00178-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022330053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0010-0277(02)00178-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022330053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1467-9280.00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022716920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1467-9280.00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022716920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0096-1523.16.3.613", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023103781"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-9280.2006.01719.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024567238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-9280.2006.01719.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024567238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0096-1523.21.1.149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025314311"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn1501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026773849", 
              "https://doi.org/10.1038/nn1501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn1501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026773849", 
              "https://doi.org/10.1038/nn1501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn1501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026773849", 
              "https://doi.org/10.1038/nn1501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-5371(63)80068-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028841509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/h0043335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030433722"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0096-1523.19.2.331", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031877735"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0010-0285(80)90005-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035402938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0166-2236(84)80275-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040791473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.3758/bf03194406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041922725", 
              "https://doi.org/10.3758/bf03194406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00920482", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043162818", 
              "https://doi.org/10.1007/bf00920482"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0033-295x.101.1.80", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043884041"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0096-1523.16.3.626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044398643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0033-295x.95.1.15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047547632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0042-6989(83)90204-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048573517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0042-6989(83)90204-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048573517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0096-3445.114.3.285", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056368248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1068/p5029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058164652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1068/p5029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058164652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1364/josaa.7.001632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1065166410"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-01", 
        "datePublishedReg": "2010-01-01", 
        "description": "We investigated effects of element features on statistical description of relative frequency. In Experiment 1, we manipulated the proportion of two elements types forming a set and the set size and measured response time and the accuracy of relative numerosity discrimination. We did this with element pairs that had been shown to produce search symmetries or asymmetries in visual search task. We found that pop-out elements in the search asymmetry pair were numerically overestimated. In Experiment 2, we used sets of circles and circles with gaps to eliminate the possibility that the overestimation found in Experiment 1 was due to larger contour length of pop-out elements. In Experiment 3, we manipulated proportion of two elements types and the set size to measure point of subjective equality (PSE) and the slopes of z-score functions in relative numerosity discrimination to support the results of Experiments 1 and 2. The results generally showed that the proportion of pop-out elements is likely to be overestimated and that set size had no effect, suggesting that the types of features characterized by visual search could influence the accuracy and precision in discrimination of relative numerosity.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00426-008-0183-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1020435", 
            "issn": [
              "0340-0727", 
              "1430-2772"
            ], 
            "name": "Psychological Research", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "74"
          }
        ], 
        "name": "Effects of element features on discrimination of relative numerosity: comparison of search symmetry and asymmetry pairs", 
        "pagination": "99", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "394369f8ae53326cb0ce6cadc180ceaa45a79f05bdafb82e1ad3f12f8ad05dab"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19009308"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0435062"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00426-008-0183-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1012018807"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00426-008-0183-1", 
          "https://app.dimensions.ai/details/publication/pub.1012018807"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T14:29", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13087_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00426-008-0183-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00426-008-0183-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00426-008-0183-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00426-008-0183-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00426-008-0183-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    201 TRIPLES      21 PREDICATES      66 URIs      30 LITERALS      18 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00426-008-0183-1 schema:about N05f742a1ce414fccbe75dddf6fd52f4b
    2 N39b3802a253b401e87ffea237ea4f75a
    3 N4174c228f06a424280da4926abf584b6
    4 N4428c3e0d17f467ebeacd5cff546dec3
    5 N4708729c1de942e4aaad8a6d6455a198
    6 N6618d9fe99d84136940eea2873ff5c78
    7 N72b238eadd76445f83e7211094ba7c9b
    8 N7319022485ac46af80d091ed85cfef8b
    9 Ne46c0d12389e4a599a9e5273a4daf270
    10 anzsrc-for:17
    11 anzsrc-for:1701
    12 schema:author Nccf232fd9ab64dd7a71b609d3310aafb
    13 schema:citation sg:pub.10.1007/bf00920482
    14 sg:pub.10.1038/2151519a0
    15 sg:pub.10.1038/nn1501
    16 sg:pub.10.3758/bf03194406
    17 sg:pub.10.3758/bf03194998
    18 https://doi.org/10.1002/acp.714
    19 https://doi.org/10.1016/0010-0285(80)90005-5
    20 https://doi.org/10.1016/0042-6989(83)90204-3
    21 https://doi.org/10.1016/0042-6989(93)90020-w
    22 https://doi.org/10.1016/s0010-0277(02)00178-6
    23 https://doi.org/10.1016/s0022-5371(63)80068-7
    24 https://doi.org/10.1016/s0166-2236(84)80275-1
    25 https://doi.org/10.1016/s0896-6273(03)00097-7
    26 https://doi.org/10.1037/0033-295x.101.1.80
    27 https://doi.org/10.1037/0033-295x.95.1.15
    28 https://doi.org/10.1037/0096-1523.16.3.613
    29 https://doi.org/10.1037/0096-1523.16.3.626
    30 https://doi.org/10.1037/0096-1523.19.2.331
    31 https://doi.org/10.1037/0096-1523.21.1.149
    32 https://doi.org/10.1037/0096-3445.114.3.285
    33 https://doi.org/10.1037/h0043335
    34 https://doi.org/10.1068/p5029
    35 https://doi.org/10.1073/pnas.0609485103
    36 https://doi.org/10.1080/13506280500195250
    37 https://doi.org/10.1093/cercor/bhm058
    38 https://doi.org/10.1111/1467-9280.00006
    39 https://doi.org/10.1111/j.1467-9280.2006.01719.x
    40 https://doi.org/10.1364/josaa.7.001632
    41 schema:datePublished 2010-01
    42 schema:datePublishedReg 2010-01-01
    43 schema:description We investigated effects of element features on statistical description of relative frequency. In Experiment 1, we manipulated the proportion of two elements types forming a set and the set size and measured response time and the accuracy of relative numerosity discrimination. We did this with element pairs that had been shown to produce search symmetries or asymmetries in visual search task. We found that pop-out elements in the search asymmetry pair were numerically overestimated. In Experiment 2, we used sets of circles and circles with gaps to eliminate the possibility that the overestimation found in Experiment 1 was due to larger contour length of pop-out elements. In Experiment 3, we manipulated proportion of two elements types and the set size to measure point of subjective equality (PSE) and the slopes of z-score functions in relative numerosity discrimination to support the results of Experiments 1 and 2. The results generally showed that the proportion of pop-out elements is likely to be overestimated and that set size had no effect, suggesting that the types of features characterized by visual search could influence the accuracy and precision in discrimination of relative numerosity.
    44 schema:genre research_article
    45 schema:inLanguage en
    46 schema:isAccessibleForFree false
    47 schema:isPartOf N93260da090fc49eda08f067549da3d49
    48 Nab3f740b14d6434ea4f1e433ab3fcdac
    49 sg:journal.1020435
    50 schema:name Effects of element features on discrimination of relative numerosity: comparison of search symmetry and asymmetry pairs
    51 schema:pagination 99
    52 schema:productId N3dcbe1e6aee6433bb0b1d4bde6eb86c6
    53 N509e45eb1dfa4b9598d80bbd1a12a1da
    54 Nb0eba2747d1f4a059c78a6cb37afc5a4
    55 Nb6983f6cf0c042d7ac5c0412d4e0bb09
    56 Nf343b5cdb0c74034955f1f044286a4ce
    57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012018807
    58 https://doi.org/10.1007/s00426-008-0183-1
    59 schema:sdDatePublished 2019-04-11T14:29
    60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    61 schema:sdPublisher Nc571df92310e429196d0266eefeec00d
    62 schema:url http://link.springer.com/10.1007/s00426-008-0183-1
    63 sgo:license sg:explorer/license/
    64 sgo:sdDataset articles
    65 rdf:type schema:ScholarlyArticle
    66 N05f742a1ce414fccbe75dddf6fd52f4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    67 schema:name Discrimination (Psychology)
    68 rdf:type schema:DefinedTerm
    69 N39b3802a253b401e87ffea237ea4f75a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    70 schema:name Photic Stimulation
    71 rdf:type schema:DefinedTerm
    72 N3dcbe1e6aee6433bb0b1d4bde6eb86c6 schema:name readcube_id
    73 schema:value 394369f8ae53326cb0ce6cadc180ceaa45a79f05bdafb82e1ad3f12f8ad05dab
    74 rdf:type schema:PropertyValue
    75 N4174c228f06a424280da4926abf584b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Decision Making
    77 rdf:type schema:DefinedTerm
    78 N4428c3e0d17f467ebeacd5cff546dec3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Humans
    80 rdf:type schema:DefinedTerm
    81 N4708729c1de942e4aaad8a6d6455a198 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    82 schema:name Size Perception
    83 rdf:type schema:DefinedTerm
    84 N509e45eb1dfa4b9598d80bbd1a12a1da schema:name pubmed_id
    85 schema:value 19009308
    86 rdf:type schema:PropertyValue
    87 N6618d9fe99d84136940eea2873ff5c78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    88 schema:name Form Perception
    89 rdf:type schema:DefinedTerm
    90 N72b238eadd76445f83e7211094ba7c9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    91 schema:name Perceptual Distortion
    92 rdf:type schema:DefinedTerm
    93 N7319022485ac46af80d091ed85cfef8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Reaction Time
    95 rdf:type schema:DefinedTerm
    96 N764cf8ec75fd48b8b4303e485a4cab3e rdf:first sg:person.011400407201.42
    97 rdf:rest rdf:nil
    98 N93260da090fc49eda08f067549da3d49 schema:issueNumber 1
    99 rdf:type schema:PublicationIssue
    100 Nab3f740b14d6434ea4f1e433ab3fcdac schema:volumeNumber 74
    101 rdf:type schema:PublicationVolume
    102 Nb0eba2747d1f4a059c78a6cb37afc5a4 schema:name nlm_unique_id
    103 schema:value 0435062
    104 rdf:type schema:PropertyValue
    105 Nb6983f6cf0c042d7ac5c0412d4e0bb09 schema:name dimensions_id
    106 schema:value pub.1012018807
    107 rdf:type schema:PropertyValue
    108 Nc571df92310e429196d0266eefeec00d schema:name Springer Nature - SN SciGraph project
    109 rdf:type schema:Organization
    110 Nccf232fd9ab64dd7a71b609d3310aafb rdf:first sg:person.01131244633.54
    111 rdf:rest N764cf8ec75fd48b8b4303e485a4cab3e
    112 Ne46c0d12389e4a599a9e5273a4daf270 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    113 schema:name Pattern Recognition, Visual
    114 rdf:type schema:DefinedTerm
    115 Nf343b5cdb0c74034955f1f044286a4ce schema:name doi
    116 schema:value 10.1007/s00426-008-0183-1
    117 rdf:type schema:PropertyValue
    118 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Psychology and Cognitive Sciences
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Psychology
    123 rdf:type schema:DefinedTerm
    124 sg:journal.1020435 schema:issn 0340-0727
    125 1430-2772
    126 schema:name Psychological Research
    127 rdf:type schema:Periodical
    128 sg:person.01131244633.54 schema:affiliation https://www.grid.ac/institutes/grid.412314.1
    129 schema:familyName Tokita
    130 schema:givenName Midori
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131244633.54
    132 rdf:type schema:Person
    133 sg:person.011400407201.42 schema:affiliation https://www.grid.ac/institutes/grid.412314.1
    134 schema:familyName Ishiguchi
    135 schema:givenName Akira
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011400407201.42
    137 rdf:type schema:Person
    138 sg:pub.10.1007/bf00920482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043162818
    139 https://doi.org/10.1007/bf00920482
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1038/2151519a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005117491
    142 https://doi.org/10.1038/2151519a0
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1038/nn1501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026773849
    145 https://doi.org/10.1038/nn1501
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.3758/bf03194406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041922725
    148 https://doi.org/10.3758/bf03194406
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.3758/bf03194998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018691612
    151 https://doi.org/10.3758/bf03194998
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1002/acp.714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001456428
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/0010-0285(80)90005-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035402938
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/0042-6989(83)90204-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048573517
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/0042-6989(93)90020-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1020846471
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/s0010-0277(02)00178-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022330053
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1016/s0022-5371(63)80068-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028841509
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1016/s0166-2236(84)80275-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040791473
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/s0896-6273(03)00097-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019087107
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1037/0033-295x.101.1.80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043884041
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1037/0033-295x.95.1.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047547632
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1037/0096-1523.16.3.613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023103781
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1037/0096-1523.16.3.626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044398643
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1037/0096-1523.19.2.331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031877735
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1037/0096-1523.21.1.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025314311
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1037/0096-3445.114.3.285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056368248
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1037/h0043335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030433722
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1068/p5029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058164652
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1073/pnas.0609485103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002392699
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1080/13506280500195250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014219334
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1093/cercor/bhm058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005306941
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1111/1467-9280.00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022716920
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1111/j.1467-9280.2006.01719.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024567238
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1364/josaa.7.001632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065166410
    198 rdf:type schema:CreativeWork
    199 https://www.grid.ac/institutes/grid.412314.1 schema:alternateName Ochanomizu University
    200 schema:name Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan
    201 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...