Seminars

This talk will present a set of inconvenient truths and practical tips that have been uncovered by human factors and cognitive engineers over the past several decades about human automation interaction. As automation has increased in its capabilities the challenges faced by designers of automation/autonomy/and learning agents have remained relatively stable, but the consequences of getting things wrong have increased. This talk seeks to expose engineering students to some of the lessons learned with the hopes that their work may move the field forward and avoid repeating the past.