Diagnosing eyewitness identifications with reaction time based concealed information test: The effect of viewpoint congruency between test and encoding

DOI

Mistaken eyewitness identifications continue to be a major contributor to miscarriages of justice. Previous experiments suggested that implicit identification procedures such as the Concealed Information Test (CIT) might be a promising alternative to classic lineups when encoding conditions during the crime were favorable. We tested this idea by manipulating view congruency (frontal vs. profile view) between encoding and test. Participants witnessed a videotaped mock theft that showed the thief and victim almost exclusively from frontal or profile view. At test, viewing angle was either congruent or incongruent with the view during encoding. We tested eyewitness identification with the RT-CIT (N = 74), and with a traditional simultaneous photo lineup (N = 97). The CIT showed strong capacity to diagnose face recognition (d = 0.91 [0.64; 1.18]) but unexpectedly, view congruency did not moderate this effect. View congruency moderated lineup performance for one of the two lineups. Following these unexpected findings, we conducted a replication with a stronger congruency manipulation and larger sample size. CIT (N = 156) showed moderate capacity to diagnose face recognition (d = 0.63 [0.46; 0.80]) and now view congruency did moderate the CIT effect. For lineups (N = 156), view congruency again moderated performance for one of the two lineups. Capacity for diagnosing face recognition was similar for lineups and RT-CIT in our first comparison but much stronger for lineups in our second comparison. Future experiments might investigate more conditions that affect performance in lineups vs. the RT-CIT differentially.

Identifier
DOI https://doi.org/10.34894/K0WSN6
Related Identifier https://doi.org/10.1007/s00426-023-01857-1
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/K0WSN6
Provenance
Creator Sauerland, Melanie ORCID logo; Geven, Linda ORCID logo; Bastiaens, Astrid ORCID logo; Verschuere, Bruno ORCID logo
Publisher DataverseNL
Contributor faculty data manager FPN; Sauerland, Melanie
Publication Year 2023
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact faculty data manager FPN (Maastricht University); Sauerland, Melanie (Maastricht University)
Representation
Resource Type behavioral data; Dataset
Format application/x-spss-sav; image/png; application/pdf
Size 5187; 12341; 2565; 3345; 12656; 7085; 43851; 59096
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences