Cognitive Load in Collaboration: Convergence

Collaboration is inherent to complex participatory multi-actor and multi-agent social technical systems. Supporting collaborative problem solving is challenging, especially with the increased amount of data and information available for decision makers; they often experience information overload. Therefore, one of the key steps in problem solving is convergence; after considering many alternatives, the group converges their focus to a few for decision making. One of the key production factors in collaborative problem solving, and thus convergence is cognitive effort. Understanding cognitive load involved in convergence tasks is therefore important to the design of collaboration support. Convergence is a complex collaborative task, which is much less studied than the often preceding, divergence or brainstorming task. On the basis of an overview of convergence techniques and literature on convergence this paper presents a framework for the assessment of cognitive load during collaboration processes, and strategies to deal with cognitive load in convergence. Evaluation of the framework with experts and with participants in a convergence process provides the grounds for reflection on the use and implications of the framework.