The field of autonomous driving is sharply growing. One of the main issues related to such a context is the possible user’s lack of trust toward the autonomous vehicle. The area of Human-Machine Interaction (HMI) is expected to provide support in this context. Furthermore, physiological measures can help to obtain a real-time characterisation of the user’s physiological state, by letting us understand emotions like the stress level related to a specific situation and or task. Based on the above considerations, the aim of this thesis is to compare two different user interfaces which differ in the amount of information presented to the user: one is referred to “omni-comprehensive”, since it presents all the information which are expected to be available in connected and autonomous driving scenarios; the other one is named “selective”, as it exploits only a subset of that information.