Though many paradigms have been developed to study multitasking using eye tracking, most traditional applications of eye tracking are not used in real time, but instead to augment training or simply to observe optimal strategies. As eye tracking methods become more popular, they have been applied in the field of human-computer interaction and usability, as well as human-robot interaction. Recent real-time eye tracking assistance systems have focused on specific domains such as training, evaluation, or basic hypothesis testing in areas such as medical imaging, security, and aviation.
EyeFrame successfully addresses the need for domain-general multitasking assistance. EyeFrame allows the user to program sensory cues on a screen display which direct the user’s attention to neglected areas of the screen. These neglected areas are determined from real-time attention data gathered by an input device, such as a mouse or an eye tracker. EyeFrame is an assistive system for managing multiple visual tasks, which is domain-general, transparent, intuitive, non-interfering, non-command, improves control (without replacing direct control), and adaptively extrapolates to a variety of circumstances.
