Ontology type: schema:ScholarlyArticle
2002-01
AUTHORS ABSTRACTWhen a person looks at an object while exploring it with their hand, vision and touch both provide information for estimating the properties of the object. Vision frequently dominates the integrated visual-haptic percept, for example when judging size, shape or position, but in some circumstances the percept is clearly affected by haptics. Here we propose that a general principle, which minimizes variance in the final estimate, determines the degree to which vision or haptics dominates. This principle is realized by using maximum-likelihood estimation to combine the inputs. To investigate cue combination quantitatively, we first measured the variances associated with visual and haptic estimation of height. We then used these measurements to construct a maximum-likelihood integrator. This model behaved very similarly to humans in a visual-haptic task. Thus, the nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator. Visual dominance occurs when the variance associated with visual estimation is lower than that associated with haptic estimation. More... »
PAGES429
http://scigraph.springernature.com/pub.10.1038/415429a
DOIhttp://dx.doi.org/10.1038/415429a
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1008215698
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/11807554
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": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Neurological",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sensory Thresholds",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Size Perception",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Touch",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of California, Berkeley",
"id": "https://www.grid.ac/institutes/grid.47840.3f",
"name": [
"Vision Science Program, School of Optometry, University of California, Berkeley 94720-2020, USA. marc.ernst@tuebingen.mpg.de"
],
"type": "Organization"
},
"familyName": "Ernst",
"givenName": "Marc O",
"id": "sg:person.01016301243.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016301243.44"
],
"type": "Person"
},
{
"familyName": "Banks",
"givenName": "Martin S",
"id": "sg:person.0575545320.13",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575545320.13"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.3758/bf03209572",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000489521",
"https://doi.org/10.3758/bf03209572"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0042-6989(97)00325-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004780403"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.1997.0139",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005451433"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1026557704054",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007282318",
"https://doi.org/10.1023/a:1026557704054"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0024514",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008825444"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0042-6989(94)00176-m",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009462383"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0042-6989(97)00179-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009631891"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0042-6989(93)90037-w",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013905364"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0042-6989(93)90037-w",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013905364"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0033-2909.88.3.638",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017885181"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.3758/bf03343413",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021862692",
"https://doi.org/10.3758/bf03343413"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.3758/bf03202657",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023078958",
"https://doi.org/10.3758/bf03202657"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0074626",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026566562"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1059201",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029176038"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/0096-1523.7.4.902",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032058332"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1036166194",
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4757-2076-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036166194",
"https://doi.org/10.1007/978-1-4757-2076-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4757-2076-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036166194",
"https://doi.org/10.1007/978-1-4757-2076-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0166-4115(97)80006-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036719631"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1467-9280.00270",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036825216"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1467-9280.00270",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036825216"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1037/h0024766",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038615959"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/71140",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041810359",
"https://doi.org/10.1038/71140"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/71140",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041810359",
"https://doi.org/10.1038/71140"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1068/p090457",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058162324"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1068/p090457",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058162324"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1068/p120607",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058162583"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1068/p120607",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058162583"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1068/p2753",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058163929"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1068/p2753",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058163929"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.143.3606.594",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062481796"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1152/jn.1999.81.3.1355",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074267359"
],
"type": "CreativeWork"
}
],
"datePublished": "2002-01",
"datePublishedReg": "2002-01-01",
"description": "When a person looks at an object while exploring it with their hand, vision and touch both provide information for estimating the properties of the object. Vision frequently dominates the integrated visual-haptic percept, for example when judging size, shape or position, but in some circumstances the percept is clearly affected by haptics. Here we propose that a general principle, which minimizes variance in the final estimate, determines the degree to which vision or haptics dominates. This principle is realized by using maximum-likelihood estimation to combine the inputs. To investigate cue combination quantitatively, we first measured the variances associated with visual and haptic estimation of height. We then used these measurements to construct a maximum-likelihood integrator. This model behaved very similarly to humans in a visual-haptic task. Thus, the nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator. Visual dominance occurs when the variance associated with visual estimation is lower than that associated with haptic estimation.",
"genre": "research_article",
"id": "sg:pub.10.1038/415429a",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0090-0028",
"1476-4687"
],
"name": "Nature",
"type": "Periodical"
},
{
"issueNumber": "6870",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "415"
}
],
"name": "Humans integrate visual and haptic information in a statistically optimal fashion",
"pagination": "429",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"2723e612d7f87efbdc69fee742ff382c7162a6e58b0037c448ed9f5f5f6939e1"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"11807554"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"0410462"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/415429a"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1008215698"
]
}
],
"sameAs": [
"https://doi.org/10.1038/415429a",
"https://app.dimensions.ai/details/publication/pub.1008215698"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:25",
"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/v90/0000000362_0000000362/records_87104_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/415429a"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1038/415429a'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/415429a'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/415429a'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/415429a'
This table displays all metadata directly associated to this object as RDF triples.
179 TRIPLES
21 PREDICATES
60 URIs
27 LITERALS
15 BLANK NODES