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Tag Archives: Building Information Modelling
Here is a video of my lecture at the University of Michigan, “Digital tool plans and models.”
Gina Neff, author of “Venture Labor: Work and the Burden of Risk in Innovative Industries,” speaks on “Plans and Models: Digital Tools, Sticky Practices and the Thorny Problem of Innovation” during this talk at the University of Michigan School of Information. Her lecture was part of the Digital Futures Lecturre Series cosponsored by UMSI and the Department of Communications Studies.
I gave a keynote address at an annual research symposium on built environments held by the College of Architecture at Texas A&M. My colleague Carrie Dossick and I spoke on how visualization and communication tools can address problems at construction jobsites.
Engineering teams collaborating in virtual environments face many technical, social, and cultural challenges. In this paper we focus on distributed teams making joint unanticipated discoveries in virtual environments. We operationalize a definition of “messy talk” as a process in which teams mutually discover issues, critically engage in clarifying and finding solutions to the discovered issues, exchange their knowledge, and resolve the issue. Can globally distributed teams use messy talk via virtual communication technology? We analyzed the interactions of four distributed student teams collaborating on a complex design and planning project using building information models (BIMs) and the cyber-enabled global research infrastructure for design (CyberGRID), a virtual world specifically developed for collaborative work. Their interactions exhibited all four elements of messy talk, even though resolution was the least common. Virtual worlds support real-time joint problem solving by (1) providing affordances for talk mediated by shared visualizations, (2) supporting team perceptions of building information models that are mutable, and (3) allowing transformations of those models while people were together in real time. Our findings suggest that distributed team collaboration requires technologies that support messy talk—and iterative trial and error—for complex multidimensional problems.