Cognitive Load Analysis of Cybersecurity Interfaces for Autonomous Vehicle Operators

Abstract

The question of how to validate, measure and evaluate the performance adequation by human with the interface, in order to ascribe the interfaces a third anticipated level by the Human Factors Engineering certification, is being usually split in a different stage. The interface prototype pass all the required certification. No existing work has ever studied the impact of cybersecurity command, control and monitoring interface (CCMI) on the cognitive load of autonomous vehicle operator. This work is devoted to evaluate and compare performances of different command control and monitoring interface [1]. This would be achieved by utilizing actors groups that are the expert and novice-users, the main input on determining the cognitive load score with regard to the certification of experimental mock-up of the interface. Since the novice and expert groups take into consideration realistic user, signal noise ratio will be greatly downed on the output data.