| Literature DB >> 20634898 |
Simon van Gaal1, Victor A F Lamme, K Richard Ridderinkhof.
Abstract
In conflict tasks such as the Stroop, the Eriksen flanker or the Simon task, it is generally observed that the detection of conflict in the current trial reduces the impact of conflicting information in the subsequent trial; a phenomenon termed conflict adaptation. This higher-order cognitive control function has been assumed to be restricted to cases where conflict is experienced consciously. In the present experiment we manipulated the awareness of conflict-inducing stimuli in a metacontrast masking paradigm to directly test this assumption. Conflicting response tendencies were elicited either consciously (through primes that were weakly masked) or unconsciously (strongly masked primes). We demonstrate trial-by-trial conflict adaptation effects after conscious as well as unconscious conflict, which could not be explained by direct stimulus/response repetitions. These findings show that unconscious information can have a longer-lasting influence on our behavior than previously thought and further stretch the functional boundaries of unconscious cognition.Entities:
Mesh:
Year: 2010 PMID: 20634898 PMCID: PMC2901348 DOI: 10.1371/journal.pone.0011508
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Experimental design and conflict adaptation results.
A) Stimuli and trial timing. B) Conflict adaptation results. Correspondence effects in trial n for RTs (mean RT on incongruent trials–mean RT on congruent trials) and error rates (mean percentage of errors on incongruent trials–mean percentage of errors on congruent trials) as a function of prime-target correspondence in trial n-1 (congruent vs. incongruent), masking strength in trial n (weak vs. strong masking) and masking strength in trial n-1. Conflict adaptation was significant for all possible combinations of masking strength in trial n and masking strength in trial n-1.
Mean response times (in ms) and error rates (in percentages) as a function of masking strength in trial n and trial n-1 and prime-target correspondence in trial n and trial n-1.
| Trial | ||||||||
| Unconscious | Conscious | |||||||
| Incongruent | Congruent | Incongruent | Congruent | |||||
| Trial | RT | ER | RT | ER | RT | ER | RT | ER |
| Unconscious | ||||||||
| Incongruent | 488 | 4.0 | 454 | 2.6 | 506 | 28.3 | 397 | 1.9 |
| Congruent | 489 | 6.1 | 446 | 3.0 | 516 | 33.8 | 387 | 2.1 |
| Conscious | ||||||||
| Incongruent | 517 | 1.6 | 504 | 3.0 | 512 | 12.5 | 445 | 3.0 |
| Congruent | 496 | 4.3 | 464 | 1.9 | 510 | 27.4 | 395 | 2.2 |
Note - RT, response times; ER, error rate; unconscious, strongly masked primes; conscious, weakly masked primes.
Figure 2Conflict adaptation results for repeat and change trials separately.
Correspondence effects in trial n for RTs (mean RT on incongruent trials–mean RT on congruent trials) and error rates (mean percentage of errors on incongruent trials–mean percentage of errors on congruent trials) as a function of prime-target correspondence in trial n-1 (congruent vs. incongruent), masking strength in trial n-1 (weak vs. strong masking), and masking strength in trial n. Correspondence effects are reported for a dataset containing trials without stimulus/response repetitions (change trials) and trials with stimulus/response repetitions only (repetition trials).