The impact of human-technology cooperation and distributed cognition in forensic science: biasing effects of AFIS contextual information on human experts.
Experts play a critical role in forensic decision making, even when cognition is offloaded and distributed between human and machine. In this paper, we investigated the impact of using Automated Fingerprint Identification Systems (AFIS) on human decision makers. We provided 3680 AFIS lists (a total of 55,200 comparisons) to 23 latent fingerprint examiners as part of their normal casework. We manipulated the position of the matching print in the AFIS list. The data showed that latent fingerprint examiners were affected by the position of the matching print in terms of false exclusions and false inconclusives. Furthermore, the data showed that false identification errors were more likely at the top of the list and that such errors occurred even when the correct match was present further down the list. These effects need to be studied and considered carefully, so as to optimize human decision making when using technologies such as AFIS.
Institute of Cognitive Neuroscience, University College London (UCL), London, UK. i.dror@ucl.ac.uk
Itiel E
IE
Dror
Kasey
K
Wertheim
Peter
P
Fraser-Mackenzie
Jeff
J
Walajtys
D000704:Analysis of Variance; D016208:Databases, Factual; D003657:Decision Making; D003878:Dermatoglyphics; D006801:Humans; D007600:Judgment; D016015:Logistic Models; D015588:Observer Variation