A random-ray model for speed and accuracy in perceptual experiments.
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| Title: | A random-ray model for speed and accuracy in perceptual experiments. |
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| Authors: | Reeves, Adam1, Santhi, Nayantara1,2, Decaro, Stefano1,3 |
| Source: | Spatial Vision. Jan2005, Vol. 18 Issue 1, p73-83. 11p. 1 Chart, 5 Graphs. |
| Subjects: | Visual perception testing, Speed, Random walks, Vision, False alarms, Sensory perception, Visual perception |
| Abstract: | We present a 'random ray' model to describe Yes/No reaction times (RTs) and errors in perceptual experiments. The ray model is analogous to a random walk, but it is computationally simpler, requiring only elementary geometry. Ray parameters control the drift rates to the Yes and No decision boundaries, bias, and a termination or 'time-out' rule. Rays are normally distributed, but predicted RT distributions are skewed by projection onto the boundaries. Model parameters can be estimated directly from the 16th, 50th, and 84th percentiles of the RT distributions on hit, correct rejection, false alarm, and miss trials, if the data satisfy three easily testable constraints. Examples are given from visual search and object recognition. [ABSTRACT FROM AUTHOR] |
| Copyright of Spatial Vision is the property of VSP International Science Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 15683616 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A random-ray model for speed and accuracy in perceptual experiments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Reeves%2C+Adam%22">Reeves, Adam</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Santhi%2C+Nayantara%22">Santhi, Nayantara</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Decaro%2C+Stefano%22">Decaro, Stefano</searchLink><relatesTo>1,3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Spatial+Vision%22">Spatial Vision</searchLink>. Jan2005, Vol. 18 Issue 1, p73-83. 11p. 1 Chart, 5 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Visual+perception+testing%22">Visual perception testing</searchLink><br /><searchLink fieldCode="DE" term="%22Speed%22">Speed</searchLink><br /><searchLink fieldCode="DE" term="%22Random+walks%22">Random walks</searchLink><br /><searchLink fieldCode="DE" term="%22Vision%22">Vision</searchLink><br /><searchLink fieldCode="DE" term="%22False+alarms%22">False alarms</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+perception%22">Sensory perception</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We present a 'random ray' model to describe Yes/No reaction times (RTs) and errors in perceptual experiments. The ray model is analogous to a random walk, but it is computationally simpler, requiring only elementary geometry. Ray parameters control the drift rates to the Yes and No decision boundaries, bias, and a termination or 'time-out' rule. Rays are normally distributed, but predicted RT distributions are skewed by projection onto the boundaries. Model parameters can be estimated directly from the 16th, 50th, and 84th percentiles of the RT distributions on hit, correct rejection, false alarm, and miss trials, if the data satisfy three easily testable constraints. Examples are given from visual search and object recognition. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Spatial Vision is the property of VSP International Science Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1163/1568568052801582 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 73 Subjects: – SubjectFull: Visual perception testing Type: general – SubjectFull: Speed Type: general – SubjectFull: Random walks Type: general – SubjectFull: Vision Type: general – SubjectFull: False alarms Type: general – SubjectFull: Sensory perception Type: general – SubjectFull: Visual perception Type: general Titles: – TitleFull: A random-ray model for speed and accuracy in perceptual experiments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reeves, Adam – PersonEntity: Name: NameFull: Santhi, Nayantara – PersonEntity: Name: NameFull: Decaro, Stefano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 01691015 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: Spatial Vision Type: main |
| ResultId | 1 |
