A human-machine interface analysis: Under critical operation scenario
Resumo
This study investigates the impact of the human-machine interface (HMI) on decision-making and Command and Control for Unmanned Aerial Systems (UAS). Using a prototype HMI simulating UAS in combat scenarios, we evaluate human performance through physiological sensors to identify trends in the relationship between HMI factors, decision-making, and system performance. The objective is to develop optimized HMI designs that reduce cognitive workload, improve decision-making, and enhance situational awareness during critical operations. The findings have implications for controlling Unmanned Aerial Vehicles (UAVs) in surveillance, search and rescue, and military operations, enhancing operational effectiveness and safety.Referências
Engsley, M. R., Onal, E., & Kaber, D. B. (1997). The Impact of Intermediate Levels of Automation on Situation Awareness and Performance in Dynamic Control Systems . IEEE SIXTH ANNUAL HUMAN FACTORS MEETING. [link].
Fricke, T., & Holzapfel, F. (2016, January). An Approach to Flight Control with Large Time Delays Derived from a Pulsive Human Control Strategy. AIAA Atmospheric Flight Mechanics Conference . https://doi.org/10.2514/6.2016-1033
Kaber, B. B., & Perry, C. M. (2007). Workload State Classification With Automation During Simulated Air Traffic Control. THE INTERNATIONAL JOURNAL OF AVIATION PSYCHOLOGY, 17(4), 371–390. https://doi.org/10.1080/10508410701527860
Landry, S. J. (2018). Handbook of Human Factors in Air Transportation Systems. Taylor & Francis Group. [link].
Pestana, M. E. (2011). Flying unmanned aircraft: A pilot’s perspective. AIAA Infotech at Aerospace Conference and Exhibit 2011, March, 1–9. https://doi.org/10.2514/6.2011-1490
Rowe, L. J., Cooke, N. J., Bennett, W., & Joralmon, D. Q. (2017). Remotely Piloted Aircraft Systems : A Human Systems Integration Perspective. John Wiley & Sons Ltd. [link].
Fricke, T., & Holzapfel, F. (2016, January). An Approach to Flight Control with Large Time Delays Derived from a Pulsive Human Control Strategy. AIAA Atmospheric Flight Mechanics Conference . https://doi.org/10.2514/6.2016-1033
Kaber, B. B., & Perry, C. M. (2007). Workload State Classification With Automation During Simulated Air Traffic Control. THE INTERNATIONAL JOURNAL OF AVIATION PSYCHOLOGY, 17(4), 371–390. https://doi.org/10.1080/10508410701527860
Landry, S. J. (2018). Handbook of Human Factors in Air Transportation Systems. Taylor & Francis Group. [link].
Pestana, M. E. (2011). Flying unmanned aircraft: A pilot’s perspective. AIAA Infotech at Aerospace Conference and Exhibit 2011, March, 1–9. https://doi.org/10.2514/6.2011-1490
Rowe, L. J., Cooke, N. J., Bennett, W., & Joralmon, D. Q. (2017). Remotely Piloted Aircraft Systems : A Human Systems Integration Perspective. John Wiley & Sons Ltd. [link].
Publicado
16/10/2023
Como Citar
REHDER, Ivan de Souza; SARMENTO, Andrew; RUSSO, Ana Carolina; CARDOSO JUNIOR, Moacyr Machado; VILLANI, Emilia.
A human-machine interface analysis: Under critical operation scenario. In: IHC NA PRÁTICA - SIMPÓSIO BRASILEIRO DE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 22. , 2023, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 27-30.
DOI: https://doi.org/10.5753/ihc_estendido.2023.233135.