Impact of Individual Differences on Reliance Optimization
Abstract
Envisioned Air Force operations will involve single operator supervision of multiple remotely piloted aircraft (RPAs). However, the ability of the operator to benefit from the automations support can be jeopardized by inappropriate (over- and under-) reliance on automation. In Air Force Office of Scientific Research (AFOSR) linked funded efforts, the Air Force Research Laboratory developed methodologies and configurations of an RPA simulation to support experimental studies that were collected at partner academic laboratories. The objective of these linked efforts was to explore human performance and operator reliance on automation with various levels and reliabilities of automation, across several states of fatigue. The results provide a better understanding of the circumstances under which individual differences (e.g., video game experience), fatigue and automation characteristics may interact to produce inappropriate reliance on automation. In addition, the utility of eye tracking to diagnose suboptimal use of automation was explored.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 31, 2016
- Accession Number
- AD1011872
Entities
People
- Chung-yiu P. Chiu
- Gerald Matthews
- Gloria Calhoun
- Gregory Funke
- Heath Ruff
- Jinchao Lin
- Ryan Wohleber