Assessment of presentation methods for ReFace computerized facial approximations.
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| Title: | Assessment of presentation methods for ReFace computerized facial approximations. |
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| Authors: | Richard, Adam H.1, Parks, Connie L.1, Monson, Keith L.2 keith.monson@ic.fbi.gov |
| Source: | Forensic Science International. 2014, Vol. 242, p283-292. 10p. |
| Subjects: | Approximation theory, Performance evaluation, Facial reconstruction (Anthropology), Recognition (Psychology), Computer-generated imagery |
| Abstract: | Facial approximations (whether clay sculptures, sketches, or computer-generated) can be presented to the public in a variety of layouts, but there are currently no clear indicators as to what style of presentation is most effective at eliciting recognition. The primary purpose of this study is to determine which of five presentation methods produces the most favorable recognition results. A secondary goal of the research is to evaluate a new method for assessing the accuracy of facial approximations. Previous studies have evaluated facial approximation effectiveness using standards similar to studies of eyewitness identification in which a single, definitive choice must be made by the research participant. These criteria seem inappropriate given that facial approximation is strictly an investigative tool to help narrow the search for potential matching candidates in the process of identification. Results from the study showed a higher performance for methods utilizing more than one image of the approximation, but which specific method performed best varied among approximation subjects. Also, results for all five presentation methods showed that, when given the opportunity to select more than one approximation, participants were consistently better at identifying the correct approximation as one of a few possible matches to the missing person than they were at singling out the correct approximation. This suggests that facial approximations have perhaps been undervalued as investigative tools in previous research. [ABSTRACT FROM AUTHOR] |
| Copyright of Forensic Science International is the property of Elsevier B.V. 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: 98743349 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessment of presentation methods for ReFace computerized facial approximations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Richard%2C+Adam+H%2E%22">Richard, Adam H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Parks%2C+Connie+L%2E%22">Parks, Connie L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Monson%2C+Keith+L%2E%22">Monson, Keith L.</searchLink><relatesTo>2</relatesTo><i> keith.monson@ic.fbi.gov</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Forensic+Science+International%22">Forensic Science International</searchLink>. 2014, Vol. 242, p283-292. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Approximation+theory%22">Approximation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Facial+reconstruction+%28Anthropology%29%22">Facial reconstruction (Anthropology)</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-generated+imagery%22">Computer-generated imagery</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Facial approximations (whether clay sculptures, sketches, or computer-generated) can be presented to the public in a variety of layouts, but there are currently no clear indicators as to what style of presentation is most effective at eliciting recognition. The primary purpose of this study is to determine which of five presentation methods produces the most favorable recognition results. A secondary goal of the research is to evaluate a new method for assessing the accuracy of facial approximations. Previous studies have evaluated facial approximation effectiveness using standards similar to studies of eyewitness identification in which a single, definitive choice must be made by the research participant. These criteria seem inappropriate given that facial approximation is strictly an investigative tool to help narrow the search for potential matching candidates in the process of identification. Results from the study showed a higher performance for methods utilizing more than one image of the approximation, but which specific method performed best varied among approximation subjects. Also, results for all five presentation methods showed that, when given the opportunity to select more than one approximation, participants were consistently better at identifying the correct approximation as one of a few possible matches to the missing person than they were at singling out the correct approximation. This suggests that facial approximations have perhaps been undervalued as investigative tools in previous research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Forensic Science International is the property of Elsevier B.V. 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: 10.1016/j.forsciint.2014.06.014 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 283 Subjects: – SubjectFull: Approximation theory Type: general – SubjectFull: Performance evaluation Type: general – SubjectFull: Facial reconstruction (Anthropology) Type: general – SubjectFull: Recognition (Psychology) Type: general – SubjectFull: Computer-generated imagery Type: general Titles: – TitleFull: Assessment of presentation methods for ReFace computerized facial approximations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Richard, Adam H. – PersonEntity: Name: NameFull: Parks, Connie L. – PersonEntity: Name: NameFull: Monson, Keith L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 03790738 Numbering: – Type: volume Value: 242 Titles: – TitleFull: Forensic Science International Type: main |
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