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This study investigated differences between 50- to 70-yr.-old taxi and non-taxi drivers with respect to cognitive process-related skills. Psychological indicators associated with perceptuomotor, attentional, and spatial memory recall abilities were collected for 173 taxi drivers (7 women, 166 men; M age = 57.5 yr.) and 175 non-taxi drivers (85 women, 90 men; M age = 58.2 yr.). The taxi drivers had shorter reaction times and motor times in response to stimuli in simple stimulus-response tasks. There was an age-related decline in monocular vision detection on both sides, processing speed for fovea stimuli, and higher-level cognition for drivers. Accordingly, the frontal visual information processing speed of the taxi drivers was superior to the non-taxi drivers, but a distinct age-related decline was observed for all drivers.

This study examined the effects of visual-verbalload (as measured by a visually presented reading-memory task with three levels) on a visual/auditory stimulus-response task. The three levels of load were defined as follows: "No Load" meant no other stimuli were presented concurrently; "Free Load" meant that a letter (A, B, C, or D) appeared at the same time as the visual or auditory stimulus; and "Force Load" was the same as "Free Load," but the participants were also instructed to count how many times the letter A appeared. The stimulus-response task also had three levels: "irrelevant," "compatible," and "incompatible" spatial conditions. These required different key-pressing responses. The visual stimulus was a red ball presented either to the left or to the right of the display screen, and the auditory stimulus was a tone delivered from a position similar to that of the visual stimulus. Participants also processed an irrelevant stimulus. The results indicated that participants perceived auditory stimuli earlier than visual stimuli and reacted faster under stimulus-response compatible conditions. These results held even under a high visual-verbal load. These findings suggest the following guidelines for systems used in driving: an auditory source, appropriately compatible signal and manual-response positions, and a visually simplified background.

A driving simulator was used to examine the effects on driving performance of auditory cues in an in-vehicle information search task. Drivers' distraction by the search tasks was measured on a peripheral detection task. The difficulty of the search task was systematically varied to test the distraction caused by a quantified visual load. 58 participants completed the task. Performance on both search tasks and peripheral detection tasks was measured by mean response time and percent error. Analyses indicated that in-vehicle information search performance can be severely degraded when a target is located within a group of diverse distractors. Inclusion of an auditory cue in the visual search increased the mean response time as a result of a change in modality from auditory to visual. Inclusion of such an auditory cue seemed to influence distraction as measured by performance on the peripheral detection task; accuracy was lower when auditory cues were provided, and responses were slower when no auditory cues were provided. Distraction by the auditory cue varied according to the difficulty of the search task.

In order to explore the selective attention mechanism and the dual-task information-processing model, two experiments were carried out involving a visual search task and a visual detection task. The results showed that the early period of attention selection is controlled in a bottom-up manner. With respect to the dual-task information-processing model, the results showed that the central information-processing model would include a sequence model for tasks that use the same perception resource, causing a bottleneck in information processing. Our study suggests that a simple and prominent signal could be used to attract drivers' attention prior to the emergent events. Moreover, any human-machine interface design in driving-associated systems should consider this information-processing bottleneck. With respect to signal type, targeted and easy to categorize were two useful elements to consider.