Effective integration of serially presented stochastic cues
Identifieur interne : 002447 ( Main/Exploration ); précédent : 002446; suivant : 002448Effective integration of serially presented stochastic cues
Auteurs : Mordechai Z. Juni [États-Unis] ; Todd M. Gureckis [États-Unis] ; Laurence T. Maloney [États-Unis]Source :
- Journal of Vision [ 1534-7362 ] ; 2012.
Abstract
This study examines how people deal with inherently stochastic cues when estimating a latent environmental property. Seven cues to a hidden location were presented one at a time in rapid succession. The seven cues were sampled from seven different Gaussian distributions that shared a common mean but differed in precision (the reciprocal of variance). The experimental task was to estimate the common mean of the Gaussians from which the cues were drawn. Observers ran in two conditions on separate days. In the “decreasing precision” condition the seven cues were ordered from most precise to least precise. In the “increasing precision” condition this ordering was reversed. For each condition, we estimated the weight that each cue in the sequence had on observers' estimates and compared human performance to that of an ideal observer who maximizes expected gain. We found that observers integrated information from more than one cue, and that they adaptively gave more weight to more precise cues and less weight to less precise cues. However, they did not assign weights that would maximize their expected gain, even over the course of several hundred trials with corrective feedback. The cost to observers of their suboptimal performance was on average 16% of their maximum possible winnings.
Url:
DOI: 10.1167/12.8.12
PubMed: 22911906
PubMed Central: 3556466
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 001484
- to stream Pmc, to step Curation: 001484
- to stream Pmc, to step Checkpoint: 001764
- to stream Ncbi, to step Merge: 002189
- to stream Ncbi, to step Curation: 002189
- to stream Ncbi, to step Checkpoint: 002189
- to stream Main, to step Merge: 002473
- to stream Main, to step Curation: 002447
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Effective integration of serially presented stochastic cues</title><author><name sortKey="Juni, Mordechai Z" sort="Juni, Mordechai Z" uniqKey="Juni M" first="Mordechai Z." last="Juni">Mordechai Z. Juni</name><affiliation wicri:level="2"><nlm:aff id="aff1">Department of Psychology, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Gureckis, Todd M" sort="Gureckis, Todd M" uniqKey="Gureckis T" first="Todd M." last="Gureckis">Todd M. Gureckis</name><affiliation wicri:level="2"><nlm:aff id="aff1">Department of Psychology, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Maloney, Laurence T" sort="Maloney, Laurence T" uniqKey="Maloney L" first="Laurence T." last="Maloney">Laurence T. Maloney</name><affiliation wicri:level="2"><nlm:aff id="aff1">Department of Psychology, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation><affiliation wicri:level="2"><nlm:aff id="aff2">Center for Neural Science, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Neural Science, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22911906</idno><idno type="pmc">3556466</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556466</idno><idno type="RBID">PMC:3556466</idno><idno type="doi">10.1167/12.8.12</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">001484</idno><idno type="wicri:Area/Pmc/Curation">001484</idno><idno type="wicri:Area/Pmc/Checkpoint">001764</idno><idno type="wicri:Area/Ncbi/Merge">002189</idno><idno type="wicri:Area/Ncbi/Curation">002189</idno><idno type="wicri:Area/Ncbi/Checkpoint">002189</idno><idno type="wicri:Area/Main/Merge">002473</idno><idno type="wicri:Area/Main/Curation">002447</idno><idno type="wicri:Area/Main/Exploration">002447</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Effective integration of serially presented stochastic cues</title><author><name sortKey="Juni, Mordechai Z" sort="Juni, Mordechai Z" uniqKey="Juni M" first="Mordechai Z." last="Juni">Mordechai Z. Juni</name><affiliation wicri:level="2"><nlm:aff id="aff1">Department of Psychology, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Gureckis, Todd M" sort="Gureckis, Todd M" uniqKey="Gureckis T" first="Todd M." last="Gureckis">Todd M. Gureckis</name><affiliation wicri:level="2"><nlm:aff id="aff1">Department of Psychology, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Maloney, Laurence T" sort="Maloney, Laurence T" uniqKey="Maloney L" first="Laurence T." last="Maloney">Laurence T. Maloney</name><affiliation wicri:level="2"><nlm:aff id="aff1">Department of Psychology, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation><affiliation wicri:level="2"><nlm:aff id="aff2">Center for Neural Science, New York University, New York, NY, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Neural Science, New York University, New York, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author></analytic><series><title level="j">Journal of Vision</title><idno type="eISSN">1534-7362</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>This study examines how people deal with inherently stochastic cues when estimating a latent environmental property. Seven cues to a hidden location were presented one at a time in rapid succession. The seven cues were sampled from seven different Gaussian distributions that shared a common mean but differed in precision (the reciprocal of variance). The experimental task was to estimate the common mean of the Gaussians from which the cues were drawn. Observers ran in two conditions on separate days. In the “decreasing precision” condition the seven cues were ordered from most precise to least precise. In the “increasing precision” condition this ordering was reversed. For each condition, we estimated the weight that each cue in the sequence had on observers' estimates and compared human performance to that of an ideal observer who maximizes expected gain. We found that observers integrated information from more than one cue, and that they adaptively gave more weight to more precise cues and less weight to less precise cues. However, they did not assign weights that would maximize their expected gain, even over the course of several hundred trials with corrective feedback. The cost to observers of their suboptimal performance was on average 16% of their maximum possible winnings.</p></div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>État de New York</li></region></list><tree><country name="États-Unis"><region name="État de New York"><name sortKey="Juni, Mordechai Z" sort="Juni, Mordechai Z" uniqKey="Juni M" first="Mordechai Z." last="Juni">Mordechai Z. Juni</name></region><name sortKey="Gureckis, Todd M" sort="Gureckis, Todd M" uniqKey="Gureckis T" first="Todd M." last="Gureckis">Todd M. Gureckis</name><name sortKey="Maloney, Laurence T" sort="Maloney, Laurence T" uniqKey="Maloney L" first="Laurence T." last="Maloney">Laurence T. Maloney</name><name sortKey="Maloney, Laurence T" sort="Maloney, Laurence T" uniqKey="Maloney L" first="Laurence T." last="Maloney">Laurence T. Maloney</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002447 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 002447 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= PMC:3556466
|texte= Effective integration of serially presented stochastic cues
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:22911906" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |