Effect of low luminance on face recognition in adults with central and peripheral vision loss

Author:

Venugopal Dinesh1ORCID,Wood Joanne M.1ORCID,Black Alex A.1ORCID,Bentley Sharon A.1ORCID

Affiliation:

1. Centre for Vision and Eye Research School of Optometry and Vision Science Queensland University of Technology Brisbane Queensland Australia

Abstract

AbstractPurposeTo investigate the effect of low luminance on face recognition, specifically facial identity discrimination (FID) and facial expression recognition (FER), in adults with central vision loss (CVL) and peripheral vision loss (PVL) and to explore the association between clinical vision measures and low luminance FID and FER.MethodsParticipants included 33 adults with CVL, 17 with PVL and 20 controls. FID and FER were assessed under photopic and low luminance conditions. For the FID task, 12 sets of three faces with neutral expressions were presented and participants asked to indicate the odd‐face‐out. For FER, 12 single faces were presented and participants asked to name the expression (neutral, happy or angry). Photopic and low luminance visual acuity (VA) and contrast sensitivity (CS) were recorded for all participants and for the PVL group, Humphrey Field Analyzer (HFA) 24‐2 mean deviation (MD).ResultsFID accuracy in CVL, and to a lesser extent PVL, was reduced under low compared with photopic luminance (mean reduction 20% and 8% respectively; p < 0.001). FER accuracy was reduced only in CVL (mean reduction 25%; p < 0.001). For both CVL and PVL, low luminance and photopic VA and CS were moderately to strongly correlated with low luminance FID (ρ = 0.61–0.77, p < 0.05). For PVL, better eye HFA 24‐2 MD was moderately correlated with low luminance FID (ρ = 0.54, p = 0.02). Results were similar for low luminance FER. Together, photopic VA and CS explained 75% of the variance in low luminance FID, and photopic VA explained 61% of the variance in low luminance FER. Low luminance vision measures explained little additional variance.ConclusionLow luminance significantly reduced face recognition, particularly for adults with CVL. Worse VA and CS were associated with reduced face recognition. Clinically, photopic VA is a good predictor of face recognition under low luminance conditions.

Funder

Queensland University of Technology

Publisher

Wiley

Subject

Sensory Systems,Optometry,Ophthalmology

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