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An eye tracking study of bloodstain pattern analysts during pattern classification.
Arthur, R M; Hoogenboom, J; Green, R D; Taylor, M C; de Bruin, K G.
Afiliación
  • Arthur RM; School of Chemical Sciences, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand. ravishkaa@gmail.com.
  • Hoogenboom J; Netherlands Forensic Institute, P.O. Box 24044, 2490 AA, The Hague, Netherlands. ravishkaa@gmail.com.
  • Green RD; Netherlands Forensic Institute, P.O. Box 24044, 2490 AA, The Hague, Netherlands.
  • Taylor MC; Department of Computer Science and Software Engineering, College of Engineering, University of Canterbury, Christchurch, New Zealand.
  • de Bruin KG; Institute of Environmental Science and Research Ltd (ESR), Christchurch Science Centre, PO Box 29-181, Christchurch, 8041, New Zealand.
Int J Legal Med ; 132(3): 875-885, 2018 May.
Article en En | MEDLINE | ID: mdl-29046954
Bloodstain pattern analysis (BPA) is the forensic discipline concerned with the classification and interpretation of bloodstains and bloodstain patterns at the crime scene. At present, it is unclear exactly which stain or pattern properties and their associated values are most relevant to analysts when classifying a bloodstain pattern. Eye tracking technology has been widely used to investigate human perception and cognition. Its application to forensics, however, is limited. This is the first study to use eye tracking as a tool for gaining access to the mindset of the bloodstain pattern expert. An eye tracking method was used to follow the gaze of 24 bloodstain pattern analysts during an assigned task of classifying a laboratory-generated test bloodstain pattern. With the aid of an automated image-processing methodology, the properties of selected features of the pattern were quantified leading to the delineation of areas of interest (AOIs). Eye tracking data were collected for each AOI and combined with verbal statements made by analysts after the classification task to determine the critical range of values for relevant diagnostic features. Eye-tracking data indicated that there were four main regions of the pattern that analysts were most interested in. Within each region, individual elements or groups of elements that exhibited features associated with directionality, size, colour and shape appeared to capture the most interest of analysts during the classification task. The study showed that the eye movements of trained bloodstain pattern experts and their verbal descriptions of a pattern were well correlated.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Movimientos Sacádicos / Manchas de Sangre / Medidas del Movimiento Ocular Límite: Humans Idioma: En Revista: Int J Legal Med Asunto de la revista: JURISPRUDENCIA Año: 2018 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento Visual de Modelos / Movimientos Sacádicos / Manchas de Sangre / Medidas del Movimiento Ocular Límite: Humans Idioma: En Revista: Int J Legal Med Asunto de la revista: JURISPRUDENCIA Año: 2018 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Alemania