Normative accuracy and response time data for the computerized Benton Facial Recognition Test (BFRT-c)

Area of Science:

• Neuroscience
• Cognitive Psychology
• Psychometrics

Background:

• Facial recognition is a complex cognitive process crucial for social interaction.
• The classical Benton Facial Recognition Test (BFRT) is a widely used tool for assessing facial recognition abilities.
• A computerized version (BFRT-c) offers potential for standardized administration and data collection.

Purpose of the Study:

• To establish normative data for a computerized Benton Facial Recognition Test (BFRT-c) in a large sample of young adults.
• To evaluate the BFRT-c's validity and reliability as a clinical tool for identifying facial recognition deficits.
• To explore factors influencing performance, including sex differences and types of visual transformations.

Main Methods:

• A large sample of 307 young adults completed the computerized long form of the Benton Facial Recognition Test (BFRT-c).
• Participants matched target face photographs to simultaneously presented options.
• Data collected included accuracy rates and response times for each item.

Main Results:

• The BFRT-c demonstrated good accuracy (81%-83%) above chance, with low interindividual variance.
• Response times provided a reliable complementary measure of performance, with average completion time of 3 minutes.
• Females outperformed males, particularly on female faces. Performance was lower with lighting changes than head rotations.

Conclusions:

• The BFRT-c is a valid and sensitive tool for assessing facial recognition, supporting its use in clinical batteries.
• Normative data from this study aid in identifying impairments, such as those seen in prosopagnosia.
• Researchers should consider both accuracy and response time, along with performance variability, for comprehensive assessment.