Identifying control groupings and menu structures for advanced automotive systems using psychological clustering and scaling techniques.

This paper describes two studies in which empirical psychological methods are used to identify users' conceptual organization of automotive system functions. The studies extend the use of formal clustering and scaling techniques to the design of more complex automotive systems offering a greater variety of features and functionality. The results provide guidance for laying out controls and structuring hierarchical menus in Human-Machine Interfaces (HMIs) for two products.