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1.
Cogn Sci ; 36(5): 948-63, 2012 Jul.
Article in English | MEDLINE | ID: mdl-22757627

ABSTRACT

The effect of recent experience on current behavior has been studied extensively in simple laboratory tasks. We explore the nature of sequential effects in the more naturalistic setting of automobile driving. Driving is a safety-critical task in which delayed response times may have severe consequences. Using a realistic driving simulator, we find significant sequential effects in pedal-press response times that depend on the history of recent stimuli and responses. Response times are slowed up to 100 ms in particular cases, a delay that has dangerous practical consequences. Further, we observe a significant number of history-related pedal misapplications, which have recently been noted as a cause for concern in the automotive safety community. By anticipating these consequences of sequential context, driver assistance systems could mitigate the effects of performance degradations and thus critically improve driver safety.


Subject(s)
Automobile Driving/psychology , Cues , Psychomotor Performance , Reaction Time , Adult , Computer Simulation , Female , Humans , Male , Safety
2.
J Vis ; 12(2)2012 Feb 09.
Article in English | MEDLINE | ID: mdl-22323822

ABSTRACT

The dynamics of overt visual attention shifts evoke certain patterns of responses in eye and head movements. In this work, we detail novel findings regarding the interaction of eye gaze and head pose under various attention-switching conditions in complex environments and safety critical tasks such as driving. In particular, we find that sudden, bottom-up visual cues in the periphery evoke a different pattern of eye-head movement latencies as opposed to those during top-down, task-oriented attention shifts. In laboratory vehicle simulator experiments, a unique and significant (p < 0.05) pattern of preparatory head motions, prior to the gaze saccade, emerges in the top-down case. This finding is validated in qualitative analysis of naturalistic real-world driving data. These results demonstrate that measurements of eye-head dynamics are useful data for detecting driver distractions, as well as in classifying human attentive states in time and safety critical tasks.


Subject(s)
Attention/physiology , Automobile Driving , Cues , Eye Movements/physiology , Head Movements/physiology , Visual Perception/physiology , Adult , Environment , Female , Fixation, Ocular/physiology , Humans , Male , Models, Neurological , Psychomotor Performance/physiology
3.
IEEE Trans Syst Man Cybern B Cybern ; 39(1): 85-93, 2009 Feb.
Article in English | MEDLINE | ID: mdl-19068432

ABSTRACT

In this paper, we introduce a novel laser-based wide-area heads-up windshield display which is capable of actively interfacing with a human as part of a driver assistance system. The dynamic active display (DAD) is a unique prototype interface that presents safety-critical visual icons to the driver in a manner that minimizes the deviation of his or her gaze direction without adding to unnecessary visual clutter. As part of an automotive safety system, the DAD presents alerts in the field of view of the driver only if necessary, which is based upon the state and pose of the driver, vehicle, and environment. This paper examines the effectiveness of DAD through a comprehensive comparative experimental evaluation of a speed compliance driver assistance system, which is implemented on a vehicular test bed. Three different types of display protocols for assisting a driver to comply with speed limits are tested on actual roadways, and these are compared with a conventional dashboard display. Given the inclination, drivers who are given an overspeed warning alert reduced the time required to slow down to the speed limit by 38% (p < 0.01) as compared with the drivers not given the alert. Additionally, certain alerts decreased distraction levels by reducing the time spent looking away from the road by 63% (p < 0.01). Ultimately, these alerts demonstrate the utility and promise of the DAD system.


Subject(s)
Automobile Driving , Head Movements/physiology , Protective Devices/trends , Accidents, Traffic/prevention & control , Analysis of Variance , Artificial Intelligence , Attention , Eye Movement Measurements , Humans , Systems Integration , User-Computer Interface
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