CALL FOR PAPERS Special Issue on Coupling Computation and Human Cognition through Interaction Design Journal of Multimodal Technologies and Interaction Website: www.mdpi.com/journal/mti/special_issues/human_cognition Due Date: May 31, 2017 - - - - - - - - - - - - - - - - - - - - - Many fields are encountering complex activities that involve intrinsically hard data analysis tasks—e.g., discovery-based research; emergency management; cybersecurity; and uncertain, risk-based decision-making. These activities are often open-ended, ill-specified, non-linear, and data-driven; they comprise a network of interdependent tasks; and they are domain-knowledge intensive and cognitively demanding. It is impossible for humans to perform such complex activities without support from powerful computational tools. There is a need for a coupling between human cognition and powerful computational tools, where the strengths of both are leveraged and tasks are distributed between human cognition and computation. Complex activities demand constant human-data interaction and decision-making—e.g., navigating and making sense of datasets; interpreting, selecting, constructing, and/or validating machine learning models; transforming input and output components (e.g., visualizations); deploying available resources; and managing tasks. These activities require a strong “human-in-the-loop” presence, where human perception, knowledge, and insight play a crucial role in accomplishing goal-oriented tasks. The focus of this issue is on human cognition and computation teaming together to achieve goals of complex activities. We are interested in cases where human cognition and computation form a partnership and jointly carry out tasks. In such contexts, coupling is achieved through interaction between humans and computational artifacts. Thus the focus of the special issue is on coupling computation and cognition through interaction design. Submissions should address how computation and cognition work together through the deliberate design of interaction techniques and strategies. We encourage authors to submit original research articles, works in progress, surveys, reviews, and viewpoint articles. This special issue welcomes general theories, models, and frameworks as well as applications in specific domains such as healthcare, education, neuroscience, bioinformatics, intelligence analysis, cybersecurity, and others. Topics of interest for the special issue include (but are not limited to): * Coupling human cognition and machine learning * Interactive visual data analysis * Interactive visualization and visual analytics * Human-in-the-loop analytics * Joint cognitive systems * Interactive model steering * Interactive data-driven learning * Human-computer joint reasoning * Human-computer knowledge discovery * Mixed-initiative interaction * Cognitive tools * Cognitive systems engineering Kamran Sedig Paul Parsons Guest Editors