CHART Seminar - ARPI: Trust In Automation
All automations must, at some point in their lifecycle, interface with one or more humans. Whether operators, end-users, or bystanders, human responses can determine the perceived utility and acceptance of an automation. It has been long believed that human trust is a primary determinant of most human-automation interactions and further presumed that calibrating trust can lead to appropriate choices regarding automation use. However, attempts to improve joint system performance by calibrating trust have not yet provided a generalizable solution. To address this, we identified several factors limiting the direct integration of trust, or metrics thereof, into an active mitigation strategy. This talk outlines our approach to addressing this important issue, its conceptual underpinnings, and practical challenges encountered in execution.
Dr. Jason Metcalfe is a research scientist with the Human Research and Engineering Directorate of the Combat Capabilities Development Command Army Research Laboratory (CCDC ARL). Since entering the defense sector in 2007, Jason has focused on human interactions with advanced technologies such as autonomous and semi-autonomous mobility and other vehicle-based systems for use in both military and civilian environments. Jason completed his Bachelors and Masters of Science at the University of Illinois, and his PhD at the University of Maryland, all in the field of kinesiology. For over 20 years, Jason has progressively leveraged methods from psychology, neuroscience, biomechanics, and engineering to parlay his theoretical and empirical understanding of human sensory-motor control and development into a primary expertise on human performance of complex behavior. Jason has published over 35 peer-reviewed works and his research has been the subject of over 65 conference presentations and invited talks.
1:00-1:30 Guided Q&A
Location: ASU Polytechnic Campus, Santa Catalina Hall, Room 151
To schedule 30-minute individual meetings on Wednesday afternoon between 2:15pm and 4:45pm, please contact Veronica.Handorf@asu.edu.
Zoom Info for Remote Participants:
Join from PC, Mac, Linux, iOS or Android: https://asu.zoom.us/s/225571494
Or Telephone: Dial (for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923; Meeting ID: 225 571 494