Crewmembers of armored vehicles are exposed to high-risk tasks in operational conditions. In modern armored vehicles multiple displays within the vehicle provide information necessary for maneuvering and tactical decision making. As hostile threats can cause stressful situations with high time pressure and potentially lethal outcomes of decision-making, it is important that the human-machine interface of armored vehicles is tailored to the specific impact factors of this work domain. In this respect, evaluations of the human machine interface concept are necessary to ensure that the design concept meets the specific requirements of the identified use cases. We created a multimodal approach to facilitate evaluations of such complex safety critical human machine interfaces and to support design decisions. The approach gathers manifold information on the crewmembers’ mental states and their interaction with the user interfaces. A concept is proposed for the use of user state analysis purpose fitted for armored vehicles. The concept highlights benefits of such an approach as an example of evaluations of military human-machine systems.
A: Filip Trzcinka Hunter College, City University of New York, A: Oyewole Oyekoya Hunter College, City University of New York, A: Daniel Chan Sarah Lawrence College
A: Cyrus Monteiro Indraprastha Institute of Information Technology, A: Ipsita Rajasekar Indraprastha Institute of Information Technology, A: Prakhar Bhargava Indraprastha Institute of Information Technology, A: Anmol Srivastava Indraprastha Institute of Information Technology
A: Habin Park Hunter College, City University of New York, A: Daniel Lichtman Stockton University, A: Oyewole Oyekoya Hunter College, City University of New York