Human intelligent machine teaming in single pilot operation: A case study

Human intelligent machine teaming in single pilot operation: A case study
Nareg Minaskan Karabid, Charles-Alban Dormoy, Alain Pagani, Jean-Marc Andre, Didier Stricker
HCI International 2022. Human Computer Interaction International Conferences (HCII-2022) June 26-July 1 Gothenburg/Virtual Sweden Springer 2022 .

Abstract:: With recent advances in artificial intelligence (AI) and learning based systems, industries have started to integrate AI components into their products and workflows. In areas where frequent testing and development is possible these system have proved to be quite useful such as in automotive industry where vehicle are now equipped with advanced driver-assistant systems (ADAS) capable of self-driving, route planning, and maintaining safe distances from lanes and other vehicles. However, as the safety-critical aspect of task increases, more difficult and expensive it is to develop and test AI-based solutions. Such is the case in aviation and therefore, development must happen over longer periods of time and in a step-by-step manner. This paper focuses on creating an interface between the human pilot and a potential assistant system that helps the pilot navigate through a complex flight scenario. Verbal communication and augmented reality (AR) were chosen as means of communication and the verbal communication was carried out in a wizard-of-Oz (WoOz) fashion. The interface was tested in a flight simulator and it’s usefulness was evaluated by NASA-TLX and SART questionnaires for workload and situation awareness.

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