Conference proceeding
An experiment to probe brain responses to driver information systems
FOUNDATIONS OF AUGMENTED COGNITION, VOL 11, pp.1077-1086
2005
Abstract
Recent advances in sensor, wireless, computing, and Global Positioning System technologies have made sophisticated in-vehicle information systems feasible. However, models of human decision-making processes and information-processing strategies are restricted in their capabilities to assist designers and researchers understand the impact of these futuristic systems, leading to more technology-centered than user-centered solutions. These intelligent operator-vehicle interfaces must be optimized with respect to usability, suitability, safety and user acceptance. Our understanding of human operator behavior is based on psychological principles of behaviorism or rule-based systems. The need is not any longer just to describe behavior, but to understand, model, and predict how intrinsic mechanisms in the human brain give rise to observed behavior. The increasing complexity of the interface requires that we understand and develop computational models for complex human-system interactions to predict operator decision making, distractibility, and situational awareness. Such models, supported by much greater computing power, will revolutionize the transportation scene in terms of efficiency and safety gains.
The paper describes progress made with the setup and application of a modular and mobile, physio-metrology laboratory that can be deployed on many research platforms such as driving simulators, flight simulators, instrumented cars and aircraft. The laboratory provides researchers with the ability to conduct research in an unprecedented manner by collecting a holistic picture of human performance in advanced and complex transportation systems. Furthermore, it enables a completely new insight on the complex interplay amongst stimuli, brain activity, psychophysiological processes, and different engineering designs of human-machine systems, by fusing together cutting-edge insights from both traffic engineering and neuroscience.
An overview is also given of our ongoing research program to discriminate amongst different cognitive states when applied to the study of driver distraction, performance, and safety. Based on the utility of our physio-metrology laboratory, we are investigating the interplay of attention, automaticity, and spatial and verbal working memory on threat detection and performance of drivers engaged in demanding environments. In the end, results from such experiments will define the basis from which driver training and selection, policies, and system design strategies could be evaluated by officials, manufacturers, as well as operators in the transportation sector.
Details
- Title: Subtitle
- An experiment to probe brain responses to driver information systems
- Creators
- P PoolmanD TuckerP LuuT SchnellF Aktan
- Contributors
- D D Schmorrow (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- FOUNDATIONS OF AUGMENTED COGNITION, VOL 11, pp.1077-1086
- Language
- English
- Date published
- 2005
- Academic Unit
- Neurology; Industrial and Systems Engineering; Electrical and Computer Engineering; Occupational and Environmental Health; Mechanical Engineering; Ophthalmology and Visual Sciences; Public Policy Center (Archive)
- Record Identifier
- 9984239450202771
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