Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.

This white paper introduces evaluation concepts and describes outcome-based evaluation. The Institute for Museum and Library Services (IMLS) logic model is described in the context of developing a program evaluation plan. Four case studies illustrate how outputs, outcomes and indicators can be used to produce programs results.