An investigation of within-dimension stimuli in categorization and change detection

Abstract

This thesis examined the way in which information is combined in order to make decisions. It focused specifically on within-dimension decision-making with spatially separate stimuli. The primary aim was to characterize the underlying organization of processing over time (i.e., identify the processing architecture; whether information processing proceeds in serial, parallel, or is pooled into a single decision-making channel), stopping rules (i.e., whether the process is exhaustive or self-terminating), and the efficiency of processing (i.e., workload capacity). These attributes were assessed through the analysis of response times (RTs) using Systems Factorial Technology (SFT), the Logical-Ru..