The Pittsburgh Supercomputing Center (PSC) has just awarded Carnegie Mellon University's School of Design's Associate Professor Peter Scupelli and Post-Doctoral Researcher Paul Inventado supercomputing resources for their proposal entitled “Creative Workplace Alchemies: Using Computer Vision and Machine Learning to Study Occupancy of Individual Workspaces and Collaboration Hotspots.”
From the abstract of the proposal:
Much like creative knowledge work environments, studio-based design education environments are changing rapidly to include: multidisciplinary teams, information technology, geographically distributed teams, and flexible workspaces. Factors such as, architectural space design, furniture choices, technical infrastructure features, acoustics, socio-cultural norms, and privacy and visibility of wall-sized displays support or hinder workers in creative environments. The studio has four connected spaces: individual workspaces, collaborative spaces, a kitchen and social café area, and a distance-learning class-room. I analyze a design studio environment through time-lapse photography. This research uses vision algorithms and machine learning to identify locations where people and teams worked. In prior research we noted that teams worked more often in locations that were less visible from other locations, provided greater laptop screen and display privacy, had whiteboards, and electrical outlets. Students did individual work throughout the studio-suite regardless of the function assigned to the spaces.
The supercomputing resources awarded to Scupelli and Inventado are part of the PSC’s Bridges program.
“I'm hoping to be able to better understand the learning environments in design studios,” said Scupelli. “We want to know how to better support student learning and pedagogy in studios.”