We are seeking workshop papers on topics in the area of sensemaking for a workshop to be held at CHI 2018 in Montreal, Canada.
Making sense of information is central to HCI as people look to understand complex systems, domains and problems. Broadly, we take the topic of sensemaking to mean understanding of how people collect and organize information for analysis and synthesis, and the tools and processes they follow when doing this.
Thus, sensemaking, per se, is everywhere in the systems we build and in the domains we study. Whenever people need to function well with data, making sense of the information is often a central task.
We are interested in both individual and group sensemaking practices—from how one person figures out where to go when visiting Montreal, up to large, collaborative group sensemaking where teams of people assemble and interpret large, complex, interlocking sets of data. Representative tasks include the practice of people who deal with sensemaking hand-offs (e.g., in a medical setting) or in analytical areas (e.g., making sense of financial data for forensic purposes)
In particular, what are the tools, techniques and best practices of people who need to make sense of a large amount of complex information? What issues of scale, complexity and coordination arise that are particular to making sense of a complex world?