Face Identification Proficiency Test Designed Using Item Response Theory
- URL: http://arxiv.org/abs/2106.15323v2
- Date: Thu, 1 Jul 2021 16:52:11 GMT
- Title: Face Identification Proficiency Test Designed Using Item Response Theory
- Abstract summary: Triad Identity Matching (TIM) test is based on stimulus difficulty measures based on Item Response Theory (IRT)
In Experiment 1, university students showed wide-ranging accuracy on the TIM test.
IRT-based item difficulty measures were used to partition the TIM test into three equally "easy" and three equally "difficult" subsets.
- Score: 5.284353550094401
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Measures of face identification proficiency are essential to ensure accurate
and consistent performance by professional forensic face examiners and others
who perform face identification tasks in applied scenarios. Current proficiency
tests rely on static sets of stimulus items, and so, cannot be administered
validly to the same individual multiple times. To create a proficiency test, a
large number of items of "known" difficulty must be assembled. Multiple tests
of equal difficulty can be constructed then using subsets of items. Here, we
introduce a proficiency test, the Triad Identity Matching (TIM) test, based on
stimulus difficulty measures based on Item Response Theory (IRT). Participants
view face-image "triads" (N=225) (two images of one identity and one image of a
different identity) and select the different identity. In Experiment 1,
university students (N=197) showed wide-ranging accuracy on the TIM test.
Furthermore, IRT modeling demonstrated that the TIM test produces items of
various difficulty levels. In Experiment 2, IRT-based item difficulty measures
were used to partition the TIM test into three equally "easy" and three equally
"difficult" subsets. Simulation results indicated that the full set, as well as
curated subsets, of the TIM items yielded reliable estimates of subject
ability. In summary, the TIM test can provide a starting point for developing a
framework that is flexible, calibrated, and adaptive to measure proficiency
across various ability levels (e.g., professionals or populations with face
processing deficits)
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