Feedback Improves Automation-Assisted Unfamiliar Face Matching Performance in Novice Observers

Daniel James Carragher, Daniel Sturman, Peter J. B. Hancock

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DOI: 10.31234/osf.io/mb4x7_v1
Published: 2026-11-05
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Publisher: Center for Open Science
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Cite this work

BibTeX

@article{allodium:10.31234/osf.io/mb4x7_v1,
  title = {Feedback Improves Automation-Assisted Unfamiliar Face Matching Performance in Novice Observers},
  author = {Daniel James Carragher and Daniel Sturman and Peter J. B. Hancock},
  year = {2026},
  doi = {10.31234/osf.io/mb4x7_v1},
  url = {https://doi.org/10.31234/osf.io/mb4x7_v1}
}

RIS

TY  - JOUR
TI  - Feedback Improves Automation-Assisted Unfamiliar Face Matching Performance in Novice Observers
AU  - Daniel James Carragher
AU  - Daniel Sturman
AU  - Peter J. B. Hancock
PY  - 2026
DO  - 10.31234/osf.io/mb4x7_v1
UR  - https://doi.org/10.31234/osf.io/mb4x7_v1
ER  -

APA

Carragher, D. J., Sturman, D., & Hancock, P. J. B. (2026). Feedback Improves Automation-Assisted Unfamiliar Face Matching Performance in Novice Observers. https://doi.org/10.31234/osf.io/mb4x7_v1

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crossref · retrieved 2026-11-10T11:52:28.074Z