Towards a user experience design framework for adaptive spoken dialogue in automotive contexts

Abstract

We present an initial set of design principles for designing efficient, effective, coherent, and desirable adaptive spoken interaction for traffic information and navigation. The principles are based on a qualitative analysis of driver interactions with an adaptive speech prototype along with driver interviews. The derived set of principles range from high-level fundamental design values, conceptual and behavioral principles, to low-level interface-level principles that can guide the design of adaptive spoken dialogue interaction in the car from a user experience perspective.