Abstract
There has been considerable interest in designing and deploying in-vehicle information systems (IVIS). IVIS promises benefits to individual drivers, commercial vehicle operators, and society, such as improving safety, increasing mobility, and reducing travel time. But clumsy implementation of IVIS can impair these desirable outcomes. Our goal as transportation human factors professionals is to maximize the promise and minimize the pitfalls so that IVIS provides the driving public with a net benefit commensurate with or greater than the cost of its implementation. As a profession, we have many of the basic building blocks such as good data, control-theory models, workload estimation techniques, and human factors guidelines. In order to be successful in assembling these building blocks, we need a more theoretical understanding of how driving, IVIS, and the human driver are related.