Compatibility Level Research Articles

The Grandori model: Anisotropic formulation and its application in the plotting of seismic hazard maps

The seismic hazard for the Calabro-Sicilian area is evaluated using an anisotropic formulation of the Grandori attenuation law. For each macroseismic field two main directions are identified: minimum and maximum attenuation of the macroseismic intensity. The results of the investigation show that the anisotropic formulation improves the compatibility level of the model (with respect to the isotropic one) with the intensities observed and produces probabilistic expected intensities which compare favourably with the values of seismic history in the investigated area when the zonation defined by the Messina University research group was used.

Dual-task interference as a function of cognitive processing load

Sixteen subjects from the Naval Submarine Medical Research Laboratory participated in a dual-task study designed to measure processing requirements of a choice reaction time (RT) task. Two levels of choice RT stimulus-response (S-R)compatibility were tested with each of two tracking tasks to provide different levels of dual-task loading. In one tracking task, the target's temporal-spatial pattern was fixed; in the other, the target's path was a function of the subject's performance. In the choice RT task, compatibility was treated as a between-subjects factor, while the number of alternatives (set size) within a sequence was a within-subjects variable. Choice RT results indicated that compatibility and set size interacted; the increase in response latency as a function of set size was much greater when compatibility was low. An increase in choice RT response latency occurred when the secondary tracking task was added. Within a given compatibility level, this dual-task decrement was constant for all levels of set size; however, the magnitude of the dual-task decrement varied as a function of S-R compatibility, being greater when compatibility was low than when it was high. For these data, a model like Sternberg's (1969) stages model is seen to have more explanatory value than a pooled processing capacity model (e.g., Norman and Bobrow 1975).