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A Framework for Function Allocations in Intelligent Driver Interface Design for Comfort and Safety
Author(s) -
Wuhong Wang,
Fuguo Hou,
Huachun Tan,
Heiner Bubb
Publication year - 2010
Publication title -
international journal of computational intelligence systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 41
eISSN - 1875-6891
pISSN - 1875-6883
DOI - 10.1080/18756891.2010.9727720
Subject(s) - interface (matter) , computer science , function (biology) , human–computer interaction , matching (statistics) , intelligent decision support system , cognition , intelligent transportation system , interface design , risk analysis (engineering) , artificial intelligence , transport engineering , engineering , business , statistics , mathematics , bubble , evolutionary biology , maximum bubble pressure method , parallel computing , neuroscience , biology
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.

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