Voice User Interface Interaction Design Research Based on User Mental Model in Autonomous Vehicle

Abstract

With the development of artificial intelligence, autonomous vehicle as a new form of driving comes into public view. In this new Human-Machine Interaction Model, relationship between people-vehicles and user mental model have met a great change which include the information process, sequence, sorting, information architecture, navigation, visual thinking, data visualization, interface and media design. Autonomous vehicle uses the artificial intelligence and driving big data in the Intelligent Transportation System to deal with the cognition and perception, builds new paradigm for the human-machine interaction. The mental model based on human perception and cognition is not suitable for the mental model based on artificial intelligence. To enhance the user experience, the paper presents the hybrid mental model which combine the human mental model and AI mental model, consequently analyzes the user experience and interaction design influenced by mental model which is driven by human intelligence and artificial intelligence in the traditional mode and the autonomous vehicle mode. Based on Induction and Comparative Study on different mental models, the paper concludes the advantages and disadvantages of visual and auditory channels in autonomous vehicle. Finally, the paper presents the principles of voice user interface design in the view of adaption to the new environment, meeting the gap of the needs of users’ satisfaction of control and privacy protection, defines the usability targets and user experience targets for the autonomous vehicle voice user interface design.