Visualizing complexity: Getting from here to there in ill-defined problem landscapes

In this paper, we look at experienced problem solvers who are experts in their own domains and who visually model the processes people use when they solve complex problems. Our hope is that improved problem models can inform software development teams and lead to better problem solving software. We discuss what to model – the interdependent data ordeals, wayfinding, and sense-making activities that make up patterns of inquiry. We propose a model, which describes how experts explore problem landscapes, putting information and their own conclusions together in different ways in order to satisfy contending goals and agendas.