The influence of memory for prior instances on performance in a conflict detection task

In 3 experiments, the authors examined the role of memory for prior instances for making relative judgments in conflict detection. Participants saw pairs of aircraft either repeatedly conflict with each other or pass safely before being tested on new aircraft pairs, which varied in similarity to the training pairs. Performance was influenced by the similarity between aircraft pairs. Detection time was faster when a conflict pair resembled a pair that had repeatedly conflicted. Detection time was slower, and participants missed conflicts, when a conflict pair resembled a pair that had repeatedly passed safely. The findings identify aircraft features that are used as inputs into the memory decision process and provide an indication of the processes involved in the use of memory for prior instances to make relative judgments.

Faith and politics: The rhetoric of church-state separation

Criticism of religiously motivated contributions to public policy debate is largely misconceived. It assumes that the mischief which constitutional separation of church and state is supposed to cure is a domination of the state by the church. This presents only one side of the story. Subservience by the church to the slate should also be avoided. The law of a liberal state is legitimate to the extent that it does not conflict with the basic moral values of its citizens. Therefore, an ongoing conversation about basic values is necessary. Allowing churches and individual believers the freedom to make distinctive 'religious' contributions to this conversation is consistent with the separation of church and state. It is an aspect of the liberal democratic state's obligation to listen to all perspectives on difficult moral issues. A close relationship between church and state, on the other hand, has the capacity to impede the conversation.

An analysis of relational complexity in an air traffic control conflict detection task

Theoretical analyses of air traffic complexity were carried out using the Method for the Analysis of Relational Complexity. Twenty-two air traffic controllers examined static air traffic displays and were required to detect and resolve conflicts. Objective measures of performance included conflict detection time and accuracy. Subjective perceptions of mental workload were assessed by a complexity-sorting task and subjective ratings of the difficulty of different aspects of the task. A metric quantifying the complexity of pair-wise relations among aircraft was able to account for a substantial portion of the variance in the perceived complexity and difficulty of conflict detection problems, as well as reaction time. Other variables that influenced performance included the mean minimum separation between aircraft pairs and the amount of time that aircraft spent in conflict.