Continuous psychophysics: Target-tracking to measure visual sensitivity
Identifieur interne : 000675 ( Pmc/Checkpoint ); précédent : 000674; suivant : 000676Continuous psychophysics: Target-tracking to measure visual sensitivity
Auteurs : Kathryn Bonnen [États-Unis] ; Johannes Burge [États-Unis] ; Jacob Yates [États-Unis] ; Jonathan Pillow [États-Unis] ; Lawrence K. Cormack [États-Unis]Source :
- Journal of Vision [ 1534-7362 ] ; 2015.
Abstract
We introduce a novel framework for estimating visual sensitivity using a continuous target-tracking task in concert with a dynamic internal model of human visual performance. Observers used a mouse cursor to track the center of a two-dimensional Gaussian luminance blob as it moved in a random walk in a field of dynamic additive Gaussian luminance noise. To estimate visual sensitivity, we fit a Kalman filter model to the human tracking data under the assumption that humans behave as Bayesian ideal observers. Such observers optimally combine prior information with noisy observations to produce an estimate of target position at each time step. We found that estimates of human sensory noise obtained from the Kalman filter fit were highly correlated with traditional psychophysical measures of human sensitivity (
Url:
DOI: 10.1167/15.3.14
PubMed: 25795437
PubMed Central: 4371613
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
PMC:4371613Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Continuous psychophysics: Target-tracking to measure visual sensitivity</title>
<author><name sortKey="Bonnen, Kathryn" sort="Bonnen, Kathryn" uniqKey="Bonnen K" first="Kathryn" last="Bonnen">Kathryn Bonnen</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
<orgName type="university">Université du Texas à Austin</orgName>
</affiliation>
</author>
<author><name sortKey="Burge, Johannes" sort="Burge, Johannes" uniqKey="Burge J" first="Johannes" last="Burge">Johannes Burge</name>
<affiliation wicri:level="2"><nlm:aff id="aff2">Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology, University of Pennsylvania, Philadelphia, PA</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yates, Jacob" sort="Yates, Jacob" uniqKey="Yates J" first="Jacob" last="Yates">Jacob Yates</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
<orgName type="university">Université du Texas à Austin</orgName>
</affiliation>
</author>
<author><name sortKey="Pillow, Jonathan" sort="Pillow, Jonathan" uniqKey="Pillow J" first="Jonathan" last="Pillow">Jonathan Pillow</name>
<affiliation wicri:level="4"><nlm:aff id="aff3">Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ</wicri:regionArea>
<placeName><region type="state">New Jersey</region>
</placeName>
<orgName type="university">Université de Princeton</orgName>
</affiliation>
</author>
<author><name sortKey="Cormack, Lawrence K" sort="Cormack, Lawrence K" uniqKey="Cormack L" first="Lawrence K." last="Cormack">Lawrence K. Cormack</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
<orgName type="university">Université du Texas à Austin</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">25795437</idno>
<idno type="pmc">4371613</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4371613</idno>
<idno type="RBID">PMC:4371613</idno>
<idno type="doi">10.1167/15.3.14</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">001496</idno>
<idno type="wicri:Area/Pmc/Curation">001496</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000675</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Continuous psychophysics: Target-tracking to measure visual sensitivity</title>
<author><name sortKey="Bonnen, Kathryn" sort="Bonnen, Kathryn" uniqKey="Bonnen K" first="Kathryn" last="Bonnen">Kathryn Bonnen</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
<orgName type="university">Université du Texas à Austin</orgName>
</affiliation>
</author>
<author><name sortKey="Burge, Johannes" sort="Burge, Johannes" uniqKey="Burge J" first="Johannes" last="Burge">Johannes Burge</name>
<affiliation wicri:level="2"><nlm:aff id="aff2">Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology, University of Pennsylvania, Philadelphia, PA</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yates, Jacob" sort="Yates, Jacob" uniqKey="Yates J" first="Jacob" last="Yates">Jacob Yates</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
<orgName type="university">Université du Texas à Austin</orgName>
</affiliation>
</author>
<author><name sortKey="Pillow, Jonathan" sort="Pillow, Jonathan" uniqKey="Pillow J" first="Jonathan" last="Pillow">Jonathan Pillow</name>
<affiliation wicri:level="4"><nlm:aff id="aff3">Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ</wicri:regionArea>
<placeName><region type="state">New Jersey</region>
</placeName>
<orgName type="university">Université de Princeton</orgName>
</affiliation>
</author>
<author><name sortKey="Cormack, Lawrence K" sort="Cormack, Lawrence K" uniqKey="Cormack L" first="Lawrence K." last="Cormack">Lawrence K. Cormack</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
<orgName type="university">Université du Texas à Austin</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j">Journal of Vision</title>
<idno type="eISSN">1534-7362</idno>
<imprint><date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>We introduce a novel framework for estimating visual sensitivity using a continuous target-tracking task in concert with a dynamic internal model of human visual performance. Observers used a mouse cursor to track the center of a two-dimensional Gaussian luminance blob as it moved in a random walk in a field of dynamic additive Gaussian luminance noise. To estimate visual sensitivity, we fit a Kalman filter model to the human tracking data under the assumption that humans behave as Bayesian ideal observers. Such observers optimally combine prior information with noisy observations to produce an estimate of target position at each time step. We found that estimates of human sensory noise obtained from the Kalman filter fit were highly correlated with traditional psychophysical measures of human sensitivity (<italic>R</italic>
<sup>2</sup>
> 97%). Because each frame of the tracking task is effectively a “minitrial,” this technique reduces the amount of time required to assess sensitivity compared with traditional psychophysics. Furthermore, because the task is fast, easy, and fun, it could be used to assess children, certain clinical patients, and other populations that may get impatient with traditional psychophysics. Importantly, the modeling framework provides estimates of decision variable variance that are directly comparable with those obtained from traditional psychophysics. Further, we show that easily computed summary statistics of the tracking data can also accurately predict relative sensitivity (i.e., traditional sensitivity to within a scale factor).</p>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Vis</journal-id>
<journal-id journal-id-type="iso-abbrev">J Vis</journal-id>
<journal-id journal-id-type="hwp">jov</journal-id>
<journal-id journal-id-type="pmc">jov</journal-id>
<journal-id journal-id-type="publisher-id">JOV</journal-id>
<journal-title-group><journal-title>Journal of Vision</journal-title>
</journal-title-group>
<issn pub-type="epub">1534-7362</issn>
<publisher><publisher-name>The Association for Research in Vision and Ophthalmology</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">25795437</article-id>
<article-id pub-id-type="pmc">4371613</article-id>
<article-id pub-id-type="doi">10.1167/15.3.14</article-id>
<article-id pub-id-type="sici">jovi-15-03-02</article-id>
<article-id pub-id-type="publisher-id">MS#: JOV-04562-2014R1</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Articles</subject>
</subj-group>
</article-categories>
<title-group><article-title>Continuous psychophysics: Target-tracking to measure visual sensitivity</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Bonnen</surname>
<given-names>Kathryn</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<email>kathryn.bonnen@utexas.edu</email>
<uri xlink:type="simple" xlink:href="http://www.utexas.edu/cola/centers/cps/">http://www.utexas.edu/cola/centers/cps/</uri>
</contrib>
<contrib contrib-type="author"><name><surname>Burge</surname>
<given-names>Johannes</given-names>
</name>
<xref ref-type="aff" rid="aff2">2</xref>
<email>jburge@sas.upenn.edu</email>
<uri xlink:type="simple" xlink:href="http://jburge.cps.utexas.edu/research/Home.html">http://jburge.cps.utexas.edu/research/Home.html</uri>
</contrib>
<contrib contrib-type="author"><name><surname>Yates</surname>
<given-names>Jacob</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<email>jlyates@utexas.edu</email>
<uri xlink:type="simple" xlink:href="http://www.utexas.edu/cola/centers/cps/">http://www.utexas.edu/cola/centers/cps/</uri>
</contrib>
<contrib contrib-type="author"><name><surname>Pillow</surname>
<given-names>Jonathan</given-names>
</name>
<xref ref-type="aff" rid="aff3">3</xref>
<email>pillow@princeton.edu</email>
<uri xlink:type="simple" xlink:href="https://pni.princeton.edu/faculty/jonathan-pillow">https://pni.princeton.edu/faculty/jonathan-pillow</uri>
</contrib>
<contrib contrib-type="author"><name><surname>Cormack</surname>
<given-names>Lawrence K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<email>cormack@utexas.edu</email>
<uri xlink:type="simple" xlink:href="http://www.utexas.edu/cola/centers/cps/">http://www.utexas.edu/cola/centers/cps/</uri>
</contrib>
<aff id="aff1"><label>1</label>
Department of Psychology and Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA</aff>
<aff id="aff2"><label>2</label>
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA</aff>
<aff id="aff3"><label>3</label>
Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA</aff>
</contrib-group>
<pub-date pub-type="collection"><year>2015</year>
</pub-date>
<pub-date pub-type="epub"><day>20</day>
<month>3</month>
<year>2015</year>
</pub-date>
<volume>15</volume>
<issue>3</issue>
<elocation-id>14</elocation-id>
<history><date date-type="received"><day>12</day>
<month>11</month>
<year>2014</year>
</date>
<date date-type="accepted"><day>27</day>
<month>1</month>
<year>2015</year>
</date>
</history>
<permissions><copyright-statement>© 2015 ARVO</copyright-statement>
<copyright-year>2015</copyright-year>
</permissions>
<self-uri xlink:title="pdf" xlink:type="simple" xlink:href="i1534-7362-15-3-14.pdf"></self-uri>
<self-uri xlink:role="icon" xlink:type="simple" xlink:href="15.3.14.gif"></self-uri>
<abstract><p>We introduce a novel framework for estimating visual sensitivity using a continuous target-tracking task in concert with a dynamic internal model of human visual performance. Observers used a mouse cursor to track the center of a two-dimensional Gaussian luminance blob as it moved in a random walk in a field of dynamic additive Gaussian luminance noise. To estimate visual sensitivity, we fit a Kalman filter model to the human tracking data under the assumption that humans behave as Bayesian ideal observers. Such observers optimally combine prior information with noisy observations to produce an estimate of target position at each time step. We found that estimates of human sensory noise obtained from the Kalman filter fit were highly correlated with traditional psychophysical measures of human sensitivity (<italic>R</italic>
<sup>2</sup>
> 97%). Because each frame of the tracking task is effectively a “minitrial,” this technique reduces the amount of time required to assess sensitivity compared with traditional psychophysics. Furthermore, because the task is fast, easy, and fun, it could be used to assess children, certain clinical patients, and other populations that may get impatient with traditional psychophysics. Importantly, the modeling framework provides estimates of decision variable variance that are directly comparable with those obtained from traditional psychophysics. Further, we show that easily computed summary statistics of the tracking data can also accurately predict relative sensitivity (i.e., traditional sensitivity to within a scale factor).</p>
</abstract>
<kwd-group><title>Keywords</title>
<kwd><italic>psychophysics</italic>
</kwd>
<kwd><italic>vision</italic>
</kwd>
<kwd><italic>Kalman filter</italic>
</kwd>
<kwd><italic>manual tracking</italic>
</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>New Jersey</li>
<li>Pennsylvanie</li>
<li>Texas</li>
</region>
<orgName><li>Université de Princeton</li>
<li>Université du Texas à Austin</li>
</orgName>
</list>
<tree><country name="États-Unis"><region name="Texas"><name sortKey="Bonnen, Kathryn" sort="Bonnen, Kathryn" uniqKey="Bonnen K" first="Kathryn" last="Bonnen">Kathryn Bonnen</name>
</region>
<name sortKey="Burge, Johannes" sort="Burge, Johannes" uniqKey="Burge J" first="Johannes" last="Burge">Johannes Burge</name>
<name sortKey="Cormack, Lawrence K" sort="Cormack, Lawrence K" uniqKey="Cormack L" first="Lawrence K." last="Cormack">Lawrence K. Cormack</name>
<name sortKey="Pillow, Jonathan" sort="Pillow, Jonathan" uniqKey="Pillow J" first="Jonathan" last="Pillow">Jonathan Pillow</name>
<name sortKey="Yates, Jacob" sort="Yates, Jacob" uniqKey="Yates J" first="Jacob" last="Yates">Jacob Yates</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Pmc/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000675 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd -nk 000675 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= HapticV1 |flux= Pmc |étape= Checkpoint |type= RBID |clé= PMC:4371613 |texte= Continuous psychophysics: Target-tracking to measure visual sensitivity }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/RBID.i -Sk "pubmed:25795437" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd \ | NlmPubMed2Wicri -a HapticV1
![]() | This area was generated with Dilib version V0.6.23. | ![]() |