Interaction Design For Human-vehicle Trust In Human-vehicle Co-driving Scenarios

With the increasing popularity of intelligent vehicles,more and more users are coming into contact with assisted driving or autonomous driving technology,but due to technical bottlenecks and restrictions imposed by policies and regulations,higher-level autonomous driving will not be widely used for many years to come,and human-vehicle co-driving will remain the norm,while the future development of autonomous driving technology cannot be separated from the accumulation of a large amount of user usage data,and therefore during this transitional period Cultivating users’ trust in automated vehicles and making more users willing to try and use automated vehicles is of great significance and value to the future development of autonomous driving technology.Based on the theoretical study of trust between human and automated systems,this paper explores innovative research ideas and design strategies for building the appropriate level of trust between humans and vehicles in a human-vehicle codriving scenario in a scientific and systematic way.This paper firstly conducts a theoretical study on the trust between human and automated systems,clarifies the influencing factors of human-vehicle trust,then studies human-vehicle trust from the perspective of design science,divides the dynamic trust process into three stages:pre-use,break-in and maturity,and outputs different design strategies at different stages.We also used Robotaxi as a design vehicle to study the specific performance of human-vehicle trust in different scenarios through desktop research and analysis,actual car experience and user interviews,and concluded that user trust can be effectively enhanced by improving system transparency and anthropomorphic design.In terms of system transparency,the system was designed to analyse the elements of the driving scenario that users are concerned about,and to summarise the information hierarchy of the autonomous driving scenario.In terms of anthropomorphic design,the design principles of out-of-vehicle interaction and voice assistant image design are summarised in relation to specific design strategies.Based on the design principles and methods of system transparency and anthropomorphic design,the thesis finally designs a complete set of HMI design solutions for the whole vehicle based on Robotaxi,with the aim of building an appropriate level of human-vehicle trust,which provides an effective design practice case for future human-vehicle trust in human-vehicle co-driving scenarios,especially in L3 level auxiliary autonomous driving scenarios.