Abstract
This paper presents a framework for ecological function allocations and optimization matching solutions for a human-machine interface with intelligent characteristics by “who does what, when and how” consideration. As a highlighted example in nature-social system, intelligent transportation system has been playing increasingly role in keeping traffic safety, our research is concerned with identifying human factors problem of In-vehicle Support Systems (ISSs) and revealing the consequence of the effects of ISSs on driver cognitive interface. The primary objective is to explore some new ergonomics principals that will be able to use to design an intelligent driver interface for comfort and safety, which will address the impact of driver interfaces layouts, traffic information types, and driving behavioral factors on the intelligent vehicles safety design.
| Original language | English |
|---|---|
| Pages (from-to) | 531-541 |
| Number of pages | 11 |
| Journal | International Journal of Computational Intelligence Systems |
| Volume | 3 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Oct 2010 |
Keywords
- Driver cognitive interface
- Function allocation
- Human-machine system
- In-vehicle support system
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