Abstract:

For the problems of single mode of car navigation interaction， inability to dynamically change interaction strategies according to contextual differences， and inadequate user experience， a context engine model that supports adaptive car navigation interaction strategies based on different contextual situations is proposed in this paper. Combining the user-centered design （UCD） and context awareness theory， automotive human-computer interaction contexts are defined， and key contextual elements are extracted through follow-up surveys of typical drivers. The adaptive interaction strategies and principles of the context engine model in navigation contexts are elaborated， and users' different information needs are mapped to the detailed level of interaction performance at the presentation layer. The navigation HMI information frameworks and components that fit the different levels of driver needs are summarized and designed for interface design and analysis of two typical navigation application scenarios. The results show that the context engine can adaptively interact with driver’ needs in various driving situations， providing a reference for optimizing and developing intelligent cockpit driving interaction experiences.

Key words: human-vehicle interaction, in-vehicle navigation, context awareness, interface design