September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Response times in an old/new face recognition test provide an objective measure of face memory deficits in developmental prosopagnosia
Author Affiliations
  • Tanvi Palsamudram
    Harvard Medical School
    Boston Attention and Learning Laboratory, VA Boston Healthcare System
    The International School Bangalore, India
  • Maruti Mishra
    Harvard Medical School
    Boston Attention and Learning Laboratory, VA Boston Healthcare System
    Centre for Visual Science, University of Rochester
  • Jeremy Wolfe
    Brigham and Women's Hospital, Boston, MA
  • Joseph DeGutis
    Harvard Medical School
    Boston Attention and Learning Laboratory, VA Boston Healthcare System
Journal of Vision September 2021, Vol.21, 1905. doi:https://doi.org/10.1167/jov.21.9.1905
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      Tanvi Palsamudram, Maruti Mishra, Jeremy Wolfe, Joseph DeGutis; Response times in an old/new face recognition test provide an objective measure of face memory deficits in developmental prosopagnosia. Journal of Vision 2021;21(9):1905. doi: https://doi.org/10.1167/jov.21.9.1905.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

The nature of face recognition memory deficits in developmental prosopagnosia (DP) remains to be fully characterized. Previously, a dual process analysis of confidence ratings during face recognition showed that, compared to controls, DPs have deficient recollection (all-or-none recognition with context) but intact familiarity (feeling of knowing) (Stumps et al., 2020). Since confidence ratings are subjective, response times (RTs) may provide a complementary, objective measure of DPs’ memory deficits. To test this possibility, 30 DPs and 30 controls performed an old/new face recognition task where they studied 60 faces, each shown for 1.5 seconds, twice. At test, 60 new (lure) faces were interspersed with 60 old (target) faces, and participants made old/new judgments with confidence ratings (confident/somewhat sure/guessing), and RTs were recorded. For all participants, RTs differed across confidence ratings, displaying the standard pattern of fastest RTs to high confidence and slowest RTs to low confidence responses. Controls’ cumulative distribution functions (CDFs) showed markedly faster RTs for correct target responses than for correct lure responses. DPs’ correct response CDFs did not differ from each other or from control lure responses, suggesting that controls had access to a target-present signal that DPs lacked. Using RT Receiver Operating Characteristic’s (ROC) Area Under the Curve (AUC) analysis, we found that DPs and controls significantly differed in RT-ROCs for targets (AUC DPs=0.547, AUC controls=0.629, p<.01) but not for lures (p=.99). Further, the target AUC significantly predicted Cambridge Face Memory Test accuracy (CFMT, R=0.53) as well as DP diagnosis (AIC=68.0). Importantly, RT-ROC predicted unique variance beyond the recollection parameter derived from the dual process analysis of confidence ratings. Combined, they predicted 76% of the variance in DP diagnosis and 53% of the variance in CFMT. This suggests that RT-ROC is a useful, objective method of assessing face recognition abilities that provides different information than confidence judgments.

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