Again, this interaction was not significantly modulated by interruption-task demands, F(1, 38) = .04. Also the Task × Interruption interaction was not significantly modulated by whether the previous interruption episode was short or long, F(1, 38) = .18, and there were no other significant effects associated with the length of the interruption. As in the previous experiment, there was a tendency for the cost asymmetry to decline between the first half (142 ms) and the second half of the block (98 ms), F(1, 38) = 3.52, MSE = 3037.54,
click here p > .06. However, the cost asymmetry was highly reliable for both block halves, Fs(1, 38)>24.15. For the high-demand condition, the pattern of errors was consistent with previous experiments in that it was not reliably affected by the experimental factors; in particular
there was no trace of a cost asymmetry, F(1, 19) = .01. However, in the low-demand condition, the cost-asymmetry pattern was opposite to that obtained on the level of RTs and the relevant Task × Interruption interaction as reliably modulated by the condition factor, F(1, 38) = 6.42, MSE = 13.10, p < .02. In principle, this pattern could point to a speed-accuracy tradeoff. However, the size of the “reverse” error cost-asymmetry effect showed a zero correlation with the RT cost-asymmetry effect in either of the two between-subject conditions (low demand: r = –.01; high demand: r = –.01). Also, when repeating the RT analyses for the low-demand group after eliminating Rigosertib clinical trial those subjects with an above-median reverse cost-asymmetry effect, there was still a highly reliable cost asymmetry, F(1, 38) = 3.52, MSE = 2557.40, p < .01. Thus, while the unique pattern of error effects was certainly not predicted the for the low-demand condition, there is no reason to assume that it qualifies the pattern of RT results. 5 Therefore, the main result of this experiment was that neither the level of control demands during the interruption nor the length of the interruption influenced the pattern
of post-interruption costs in a theoretically significant manner. So far, as our primary task pair we had juxtaposed endogenous vs. exogenous control over spatial attention. In this final experiment we wanted to examine to what degree the basic pattern of results generalizes to a paradigm where conflict is generated during response selection, rather than during attentional-input selection. To this end, we replaced the endogenous vs. exogenous spatial attention tasks with a spatial Stroop task. Participants in the experimental group switched back and forth between blocks that either required a response to a word (UP, DOWN, LEFT, or RIGHT) presented in one of four locations, or execute a spatially compatible response to the location of the word.
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