Eye-trackers are emerging computer-input devices. This paper describes an experiment to measure the performance an eye- tracker. Detailed analysis of the system and experimental data show that for a typical 'move and select' task, the eye-tracker is two times faster than traditional computer input pointing devices like the mouse. Also, the cognitive start time for the eye-tracker is about 100-200 milliseconds less than that of other input pointing devices.
We have developed a high frame rate image display system to study attentional control and information capacity limitations for perception of static objects in a visual display. The system presents images at 114.4 frames/sec using the stereo mode of a video display monitor and the Datacube MV200 image processing system. The proposed experimental paradigm is an extension of previous work where numeric icons were displayed at `Stimulus Onset Asynchrony' (SOA) of as low as 16.7 msec/icon. With our high frame rate display system, we can achieve lower SOAs of 8.7 msec/icon and hence further examine the perceptual capabilities for short duration displays of static objects.
Driving requires two basic visual components: 'visual sensory function' and 'higher order skills.' Among the elderly, it has been observed that when attention must be divided in the presence of multiple objects, their attentional skills and relational processes, along with impairment of basic visual sensory function, are markedly impaired. A high frame rate imaging system was developed to assess the elderly driver's ability to locate and distinguish computer generated images of vehicles and to determine their direction of motion in a simulated intersection. Preliminary experiments were performed at varying target speeds and angular displacements to study the effect of these parameters on motion perception. Results for subjects in four different age groups, ranging from mid- twenties to mid-sixties, show significantly better performance for the younger subjects as compared to the older ones.
A high frame rate display system has been developed to present image sequences at 114.4 frames/sec as opposed to the video frame rate of 30 frames/sec. In order to do this, we are using a video display monitor in stereo mode and a Datacube MV-200 image processing hardware system to display images at rates approximately twice as fast as would otherwise be possible. We propose to use this system to assess the elderly diver's ability to locate and distinguish computer generated images of vehicles and to determine their direction of motion in a variety of simulated conditions.