Workshop Aim:
A workshop at DCC 2018 identified the following key near- and long-term challenges for research on design cognition measurement, published in a recent editorial at Design Science
Near-term:
• Adapting approaches and measures from other fields (e.g. behavioural experiments, neuroimaging approaches, big data, etc.).
• Mapping relevant theory and constructs from other fields (e.g. psychology and cognitive neuroscience), and developing a common ontological basis for comparison and replication.
• Developing explanations and general models/theories of cognition by formulating and testing predictions about key variables and relationships.
Long-term:
• Implementing ecological measurement, i.e. the application of advanced sensing and measurement technology and paradigms to holistically measure design cognition in natural settings.
• Developing advanced artificial intelligence applications, including data analysis, agent-based simulation, and augmented human designers..

The aim of this workshop is to begin to identify the means to address these challenges: what activities, knowledge, skills and resources are required, and over what timescales? What can recent and potential future advances in measurement approaches, techniques, and equipment contribute? How can we equip researchers with the neessary capabilities, and to what extent do we need to collaborate with experts in other fields (e.g. cognitive psychology and nueroscience)? How can we facilitate such collaboation?

The workshop will also introduce a new special interest group (SIG) on Cognitive Design Science, recently established within the Design Society. The workshop is open to anyone with an interest in design cognition measurement, and those who wish to find out more about this new SIG and how to become a member.