The dataset could help answer whether it’s possible to accurately use consumer-grade devices to interpret attention level in a problem-solving test. The class hopes that other researchers will be able to repeat the experiment with even larger subject pools.
Machines increasingly do humans’ jobs. But what happens when a human performs a machine’s tasks? A new project by doctoral student Laura Devendorf explores that role reversal, with unexpected insights into the creative process how people interact with machines.
Five School of Information students are developing a system to solve one of the biggest challenges of India’s market for household domestic workers, and to help a whole community that isn’t being served.