TY - JOUR
T1 - Event-related potentials as indices of display-monitoring performance
AU - Trejo, Leonard J.
AU - Kramer, Arthur F.
AU - Arnold, Josh A.
N1 - Funding Information:
This work was supportedin part by grantst o Leonard Trejo from the Offrce of Naval Researchm, onitoredb y Dr. StanleyC . Collyer and Dr. Terry Allard, and in partb y a grantt o Arthur Kramer from the Office of Naval Researchm, onitoredb y Dr. Harold Hawkins.D ata collectiona nda nalysews eres upportedb y theN avy Per-sonnelR esearcha nd DevelopmenCt enter,S an Diego, CA. The opinionse xpressed herea ret hoseo f the authors,a re unofficial,a nd do not necessarilrye flectt he views of the Navy Department.
PY - 1995/5
Y1 - 1995/5
N2 - We evaluated event-related potentials (ERP) as indices of performance in three visual display-monitoring tasks: 1. (a) signal detection, 2. (b) running memory and 3. (c) computation. Using factor analysis, we developed a global measure of performance (PF1) for each task. Task-relevant and irrelevant-probe stimuli elicited ERPs, which included components P1, N1, P2, P300, slow waves, and fronto-central negativities. In tasks (a) and (b), P300 amplitude in the task-relevant ERPs increased when the task was engaged, and was greater for accuratethan for inaccurate-response trials. In tasks (a) and (c), the irrelevant-probe ERPs also differed among task and performance conditions. To relate ERP measures to PF1, we developed linear regression models distinguished by three factors: general versus individual-subject, stimulus relevance, and signal-to-noise ratio (SNR). Model accuracy and reliability were highest for individual-subject, relevant-stimulus and high-SNR models, where average R2 values for the three tasks were 0.44, 0.46, and 0.38, respectively. We discuss implications of the models for performance monitoring and implications of the ERP effects for human information processing.
AB - We evaluated event-related potentials (ERP) as indices of performance in three visual display-monitoring tasks: 1. (a) signal detection, 2. (b) running memory and 3. (c) computation. Using factor analysis, we developed a global measure of performance (PF1) for each task. Task-relevant and irrelevant-probe stimuli elicited ERPs, which included components P1, N1, P2, P300, slow waves, and fronto-central negativities. In tasks (a) and (b), P300 amplitude in the task-relevant ERPs increased when the task was engaged, and was greater for accuratethan for inaccurate-response trials. In tasks (a) and (c), the irrelevant-probe ERPs also differed among task and performance conditions. To relate ERP measures to PF1, we developed linear regression models distinguished by three factors: general versus individual-subject, stimulus relevance, and signal-to-noise ratio (SNR). Model accuracy and reliability were highest for individual-subject, relevant-stimulus and high-SNR models, where average R2 values for the three tasks were 0.44, 0.46, and 0.38, respectively. We discuss implications of the models for performance monitoring and implications of the ERP effects for human information processing.
KW - Display-monitoring
KW - Event-related potentials
KW - Performance
KW - Signal-to-noise ratio
KW - Stimulus relevance
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U2 - 10.1016/0301-0511(95)05103-1
DO - 10.1016/0301-0511(95)05103-1
M3 - Article
C2 - 7647186
AN - SCOPUS:0029001228
SN - 0301-0511
VL - 40
SP - 33
EP - 71
JO - Biological Psychology
JF - Biological Psychology
IS - 1-2
ER -