Human-Vehicle Integration in EU-AdaptIVe

Abstract

Dealing with Human Factors (HF) is similar to dealing with complex systems, which are able to produce highly non-linear dynamics, self-organization, emergent effects etc. Human Factors people often focus only on those resulting, very particular and mostly negative effects forgetting about the nature of the systems’ complexity in the background with two main disadvantages: a. This can lead to 'overseeing' further possible negative, but also ‘positive effects’, such as emerging cooperation, adaptation etc., we can face in HF as well. b. This can cause the complexity (explosion) in solution finding for negative effects to be implemented as HMI, for example. Since it is still not well understood how complexity really works, what emergency is etc., we in EU-AdaptIVe try to work around, reducing systems’ complexity to be comprehended in the first place by looking for a common structure in (cognitive) systems we are investigating in HF. This does the proposed 4A. With a generalist approach, it models on a high level the informational flow within any cognitive system consisting of humans, technical modules, environment etc., which provides then a structure for further HF-related investigations. 4A is a means to structure the HF work from the beginning while looking for HF-effects, sorting them, then formulating and answering research questions by conducting experiments and, finally, formulating HF and HMI requirements out of the experimental results. However, this is only a workaround, since the real systems’ complexity is not really reduced. It only helps to structure the HF-work around this complexity.