Literature DB >> 27643619

The Reliability of Pattern Classification in Bloodstain Pattern Analysis-PART 2: Bloodstain Patterns on Fabric Surfaces.

Michael C Taylor1, Terry L Laber2, Paul E Kish3, Glynn Owens4, Nikola K P Osborne1.   

Abstract

This study was designed to produce the first baseline measure of the reliability of bloodstain pattern classifications on fabric surfaces. Experienced bloodstain pattern analysts classified bloodstain patterns on pairs of trousers that represented three fabric substrates. Patterns also varied in type (impact, cast-off, expiration, satellite stains from dripped blood, and transfer) and extent. In addition, case summaries that accompanied each pattern contained contextual cues that either supported the correct answer (i.e., positive bias), were misleading toward an incorrect answer (i.e., negative bias), or contained no directional information (i.e., neutral). Overall, 23% percent of the resulting classifications were erroneous. The majority (51%) of errors resulted from analysts misclassifying satellite stains from dripped blood. Relative to the neutral information, the positive-bias information increased correct classifications and decreased erroneous classifications, and the negative-bias information decreased correct classifications and increased erroneous classifications. The implications of these findings for BPA are discussed.
© 2016 American Academy of Forensic Sciences.

Keywords:  bloodstain pattern analysis; cognitive science; contextual bias; fabric surfaces; forensic science; reliability

Mesh:

Year:  2016        PMID: 27643619     DOI: 10.1111/1556-4029.13191

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  2 in total

1.  Criminology: Written in blood.

Authors:  Sujata Gupta
Journal:  Nature       Date:  2017-09-27       Impact factor: 49.962

2.  The effect of contextual information on decision-making in forensic toxicology.

Authors:  Hilary J Hamnett; Itiel E Dror
Journal:  Forensic Sci Int       Date:  2020-06-30       Impact factor: 2.395

  2 in total

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