ABSTRACT
So far, the field of human factors has generally focused on creating better controls and displays to help the human operator understand the situation and perform the required actions. In contrast to the impressive system performance gains that have been accomplished by such work (e.g. Wickens, Hollands, Banbury, & Parasuraman, 2013), there has been relatively little work on how to help the system respond better to the human’s needs. The present chapter examines eye measurements that could potentially inform the machine side of the human-machine system about the level of mental workload experienced by the human operator, boosting the machine’s ability to aid the human adaptively. To realize this potential, the present work describes algorithms that were developed to detect eye blinks and saccades during real-time mission performance.
