Autonomous Vehicles are expected to change the existing transportation systems radically and at the intermediate SAE automation levels before highly automated vehicles (i.e., SAE levels 2 and 3), the driving task will still require human interactions with the vehicle. To that end, Human-Machine Interfaces (HMIs) are expected to play a key role in the cooperation between users and vehicles. The current study proposes a methodology for assessing new types of HMIs for automated vehicles. The study aims to cover this gap by proposing a method for assessing novel types of HMIs for automated vehicles. Also, directives related to indicators for assessing safety and impact, and practical considerations are given. The outcomes can contribute to guiding further research in this direction and additionally can be transferred and expanded to other automated technologies and systems.