Human-Machine System Simulation for Supporting the Design and Evaluation of Reliable Aircraft Cockpit Interface

Karikawa, Daisuke; Takahashi, Makoto; Ishibashi, Akira; Wakabayashi, Toshio; Kitamura, M.

doi:10.1109/sice.2006.315259

Cited by 4 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, the evaluation methods for human-computer interaction systems for special vehicles are mainly qualitative analysis from the perspectives of ergonomics and ergonomics. Karikawa [1] et al built a pilot cognitive simulation system to qualitatively evaluate the information content of the aircraft cockpit man-machine interface design through the pilot's cognitive process. Yu [2] et al combined the characteristics of the human-machine interface with complex equipment and humanmachine-environment system theory, and proposed the design principle of human-machine interface for complex equipment as human nature, safety, efficiency, economy, comfort and overall.…”

Section: Introductionmentioning

confidence: 99%

BP Neural Network-based Model for Evaluating User Interfaces of Human-computer Interaction System

Chen¹,

Lin²,

Su³

et al. 2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

View full text Add to dashboard Cite

Human-computer interaction system is the medium for human and computer. The rationality and intelligence of its design directly affect the work efficiency and execution ability of relevant practitioners. Traditional human-computer interaction evaluation usually adopts expert evaluation method. This method is difficult to evaluate objectively because of people's subjective cognitive differences. Therefore, this paper proposes an intelligent evaluation method for complex human-computer interaction system based on BP neural network model. First, the known evaluation indicators are classified and organized, and five key evaluation indicators are optimized according to importance and relevance. Then the index is quantified into the evaluation function according to the fuzzy analytic hierarchy process. Finally, the data obtained by the simulation test is used as the training set and test set of the BP neural network, and then the evaluation model of the humancomputer interaction system is obtained.

show abstract

Section: Introductionmentioning

confidence: 99%

BP Neural Network-based Model for Evaluating User Interfaces of Human-computer Interaction System

Chen¹,

Lin²,

Su³

et al. 2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

View full text Add to dashboard Cite

show abstract

“…A well-designed aircraft cockpit is conducive to the pilot's situational awareness and control of an aircraft system to complete the task securely, so comprehensive evaluation of cockpit ergonomics is of great significance to evaluate and validate the aircraft system design. Current researches evaluate the cockpit ergonomics mainly from the aspects of situational awareness and pilots' workload [1,2], and major research methods used in literature are questionnaire surveys and simulations. Survey methods collect the subjective judgements from domain experts and discuss the merits of the schemes by using questionnaire inventories; such approaches include cooper-harper (CH) rating, subject workload assessment technique (SWAT), and National Aeronautics and Space Administration (NASA) task load indexes (NASA-TLX).…”

Section: Introductionmentioning

confidence: 99%

Consensus intuitionistic fuzzy group decision-making method for aircraft cockpit display and control system evaluation

Geng

Zhang

2013

J. of Syst. Eng. Electron.

View full text Add to dashboard Cite

A novel group decision-making (GDM) method based on intuitionistic fuzzy sets (IFSs) is developed to evaluate the ergonomics of aircraft cockpit display and control system (ACDCS). The GDM process with four steps is discussed. Firstly, approaches are proposed to transform four types of common judgement representations into a unified expression by the form of the IFS, and the features of unifications are analyzed. Then, the aggregation operator called the IFSs weighted averaging (IFSWA) operator is taken to synthesize decision-makers' (DMs') preferences by the form of the IFS. In this operator, the DM's reliability weights factors are determined based on the distance measure between their preferences. Finally, an improved score function is used to rank alternatives and to get the best one. An illustrative example proves the proposed method is effective to valuate the ergonomics of the ACDCS.

show abstract

“…Apart from all the primary flight information, the PFD could also be configured to display ILS, glideslope indicators, and altitude indicator QFE settings. Although a new pilot may have difficulty in assessing all the information shown by a PFD at first glance, proper training and flight experience may help the pilot to grasp all the displayed information at a single glance[39][40].…”

mentioning

confidence: 99%

Design And Evaluation Of A General Aviation PFD Symbology Based On Human Factors

Jabbar¹

2023

Preprint

View full text Add to dashboard Cite

<p>Throughout the world, more than 46% of the overall accidents occurring in the general aviation sector occur during the approach/landing phase of flight. According to the National Transportation Safety Board (NTSB), in 2018, more than 59% of these accidents occurred during the landing phase due to collision with terrain/or an object, power loss, and loss of control. This research focuses on reducing human-made errors by designing a new Primary Flight Display (PFD) symbology in an aircraft cockpit display using a Human Machine Interface (HMI) tool. The symbology is developed using Hierarchical Task Analysis (HTA), which simplifies the overall process into various subtasks and builds algorithms to solve the problem. Ryerson Fixed Base Flight Simulator (FBFS) is used to deploy and test the effectiveness of the newly proposed symbology against existing primary flight displays (analog and digital). Finally, human factor evaluation techniques are used to understand the mental and physical workload experienced by pilots using all three displays. Results showed an almost 62% decrease in mental demand and a 53% decrease in physical demand while using the new display symbology.</p>

show abstract

Human-Machine System Simulation for Supporting the Design and Evaluation of Reliable Aircraft Cockpit Interface

Cited by 4 publications

References 6 publications

BP Neural Network-based Model for Evaluating User Interfaces of Human-computer Interaction System

BP Neural Network-based Model for Evaluating User Interfaces of Human-computer Interaction System

Consensus intuitionistic fuzzy group decision-making method for aircraft cockpit display and control system evaluation

Design And Evaluation Of A General Aviation PFD Symbology Based On Human Factors

Contact Info

Product

Resources

About