INSPIRAM aims to advance collective awareness and embed Human Intelligence (HI) in the standard AI-based decision-making process, hence forming the basis for the evolution of HI for Connected and Cooperative Automotive Mobility (CCAM) applications. The focus of this multidisciplinary cooperation is to devise new perception systems based on the fusion of diverse data sources within ethical and safety-defined boundaries. The SotA will progress by utilizing an SSH-based approach to interpret human perception while improving the current CCAM solutions by entwining AI algorithms with human intelligence. The targeted areas and accompanying innovations are listed in Table 2 and further elaborated in this section. INSPIRAM envisions a future where safe, trustworthy CCAM systems leverage explainable AI to build user trust and acceptance through improved prediction, inclusivity and resilience.
Advanced behavioural models are essential for understanding and explaining the variations in how individuals perceive, adopt and accept CCAM innovations. These models support the reliable development of functional systems by enabling accurate predictions of the vehicle environment and user acceptance. They are significantly influenced by individual trust and resulting behaviours in interactions with CCAM systems. By incorporating personality traits, these models predict how different users will respond to automated mobility solutions, ensuring personalised and adaptable system responses.