Browse Topic: Mental processes

Items (184)
A study of mental workload and the resultant cognitive-motor behavior is essential to understanding the intrinsic limitations of the human information processing system, the results of which have impact on the design of safety-critical systems. While the effects of increased task demand on mental workload and the quality of cognitive-motor performance has been previously investigated, it remains unclear how system controllability (i.e., expected handling qualities) impacts perceptual workload and performance. Furthermore, traditional EEG spectral metrics lack the temporal specificity to capture dynamic workload. Consequently, the purpose of this experiment was to examine objective brain dynamics, task performance, and subjective ratings during piloting tracking tasks of varying complexity while also challenging participants with different expected levels of handling qualities. Our results revealed a trend suggestive of increasing mental workload related to increased task complexity and varying levels of expected handling qualities. To examine dynamic operator workload with increased temporal fidelity, we introduce a time-resolved cross-correlation based approach to assess synchronous dynamics between cortical activity and behavioral performance. The findings herein highlight the practical significance of including analyses of the time domain in workload assessment, in addition to the functional utility of a combination of metrics in the study of the temporally linked cognitive-motor output associated with increased mental workload.
Hatfield, Bradley
This paper investigates the use of multi-modal cueing through full-body haptic feedback to enhance pilot-vehicle system (PVS) performance, reduce mental workload (MWL), and increase situational awareness (SA) in both good and degraded visual environments (GVE/DVE). Piloted simulations were conducted using an H-60-like flight dynamics model in a virtual reality (VR) motion-based simulator, evaluating two ADS-33-like mission task elements (MTEs) – precision hover and slalom – under visual-only and combined visual and haptic feedback conditions in both GVE and DVE. The H-60 flight dynamics were augmented with a dynamic inversion (DI)- based stability augmentation system (SAS), implementing rate-command/attitude hold (RCAH) response type on the roll, pitch, and yaw axes and altitude hold response type on the vertical axis. The SAS was designed to achieve Level 1 handling qualities per ADS-33 standards. The full-body haptic cueing strategy leveraged an outer-loop DI control law, which provided vibrotactile feedback to cue desired roll, pitch, and yaw attitudes to the pilot. Roll cues were delivered via tactors mounted on the upper arms, pitch cues via tactors on the chest and back, and yaw cues via tactors on the calves. Eight test subjects participated in the piloted simulations, including three U.S. Navy test pilots and five subjects with different flying experiences. Results indicated that haptic feedback significantly improved hover performance, reducing MWL and enhancing SA, particularly in DVE. However, in the slalom task, predefined haptic guidance misaligned with pilots’ individual control strategies, leading to performance degradation. This finding highlights the need for pilot-specific adaptive haptic feedback to mitigate inconsistencies in dynamic maneuvering tasks.
Morcos, Michael T.Saetti, UmbertoGeiger, Derek H.Kubik, Stephen T.Breed, Adam R.Crane, Clifton J.Luzzani, GabrieleFischer, Madeline R.Jun, DogyuGary, Evan
ABSTRACT Imagine Soldiers reacting to an unpredictable, dynamic, stressful situation on the battlefield. How those Soldiers think about the information presented to them by the system or other Soldiers during this situation – and how well they translate that into thinking into effective behaviors – is critical to how well they perform. Importantly, those thought processes (i.e., cognition) interact with both external (e.g., the size of the enemy force, weather) and internal (e.g., ability to communicate, personality, fatigue level) factors. The complicated nature of these interactions can have dramatic and unexpected consequences, as is seen in the analysis of military and industrial disasters, such as the shooting down of Iran Air flight 655, or the partial core meltdown on Three Mile Island. In both cases, decision makers needed to interact with equipment and personnel in a stressful, dynamic, and uncertain environment. Similarly, the complex and dynamic nature of the contemporary operating environment faced by the United States Army makes it clear that mission performance depends on systems that are engineered to ensure that the complex systems of people and technology (i.e., sociotechnical systems) can sustain high levels of cognitive performance needed for succeed. This session overview highlights cognitive engineering and illustrates how modeling and simulation can address different aspects of this important field.
McDowell, KalebZywiol, Harry J.
ABSTRACT
Lu, CalvinCeli,  RobertoGentili,  RodolpheHatfield,  BradleyOh,  HyukBlanco, JustinMohlar,  JessicaVanleer,  Ann
This study is a part of an ongoing series of studies examining cueing modalities to circumvent the in-flight effects of degraded visual environments (DVEs) in a rotary wing aircraft. The suite of cueing modalities investigated include visual cueing symbology, auditory cueing, and tactile cueing. This study compared the use of combinations of these cueing modalities to find which resulted in the best performance and the least amount of workload required of the pilot. This specific paper focuses on the analysis of pupillometric data collected through video-based eye-tracking to measure cognitive workload. Results are discussed.
Hayes, AmandaFeltman, KathrynAura, Christopher
The advent of the COVID-19 pandemic has created uncertainty and delays in procedures, but hospitals and surgeons still need a steady supply of product, meaning that the orthopedics industry must keep innovating. One thing is certain, 2020 will be a turbulent year for procedure demand. Early on, analysts predicted that because many orthopedic procedures are elective, they would be postponed to help free up space for critically ill patients. While the recovery of orthopedic procedures has begun more quickly than analysts initially expected, it seems likely it will take longer than expected to reach full recovery as we look into 2021. June ordering patterns were already much higher than May, but the quicker recovery may indicate a second decline (W-shaped) versus a sharp decline followed by a quick recovery (V-shaped).
Need for Personalization and Opportunities in Autonomous & Shared Mobility2019-28-252011/21/2019
In the current scenario, vehicles are majorly owned by individuals where they have their own personal settings or accessories as per their individual preferences. In Shared mobility all features/controls are not personalized to everyone who shares the vehicle, which hinders the usage of shared vehicle. For shared mobility/Autonomous vehicle to be successful, it must play a significant role in customer engagement. To enhance the customer engagement, we need to satisfy individual customer by customizing the vehicle for their needs. This will give a cognitive feel of personal vehicle in a shared environment. We need technologies and design in improving vehicle interior and exterior systems to address personalization. We will involve Design Thinking approach by customer interactions in each zone of vehicle both interior and exterior to identify personalization needs. The zones of study include Frunk & Trunk compartment zone, Interaction zones, interior & exterior zone. We will rank the interaction based on its usage in vehicle and customer satisfaction factors such as privacy, comfort, usage, entertainment, hygiene & ergonomics. The summary will have design concept that will have tailored solutions satisfying each critical customer interactions for all identified zones of vehicle exterior and interior. This approach of Design Thinking will help to improve customer satisfaction and engagement in Autonomous/Shared Mobility. The study is limited to concept design, methods/process. Shared mobility vehicles referred in this paper can be either a space sharing or vehicle shared between different users. This paper gives a thought process of identifying unmet personalization needs in Mobility 4.0.
Dayakar, SureshSubramanian, VijayasarathyReddy, KeshavaShiramgond, Vijaykumar
Self-Affinity of an Aircraft Pilot’s Gaze Direction as a Marker of Visual Tunneling2019-01-18529/16/2019
For the last few years, a great deal of interest has been paid to crew monitoring systems in order to address potential safety problems during a flight. They aim at detecting any degraded physiological and/or cognitive state of an aircraft pilot or crew, such as visual tunneling, also called inattentional blindness. Indeed, they might have a negative impact on the performance to pursue the mission with adequate flight safety levels. One of the usual approaches consists in using sensors to collect physiological signals which are then analyzed. Two main families exist to process the signals. The first one combines feature extraction and machine learning whereas the second is based on deep-learning approaches which may require a large amount of labeled data. In this work, we focused on the first family. In this case, various features can be deduced from the data by different approaches: spectrum analysis, a priori modeling and nonlinear dynamical system analysis techniques including the estimation of the self-affinity of the signals. In this paper, our purpose was to uncover whether the self-affinity of the pilot gaze direction can be related to his cognitive state. To this end, an experiment was carried out on thirteen subjects in a pilot activity representative environment based on a modified version of the software MATB-II. The scenarios were designed to elicit different levels of mental workload eventually associated to attentional tunneling. A database to train the machine learning step was first created by recording the gaze directions of the subjects with an eye-tracker. The self-affinities of these signals were extracted with the Detrended Fluctuation Analysis method. They constituted the inputs of the classifier. Then, other signals were analyzed and classified. Preliminary results showed promising abilities to detect visual tunneling episodes for different levels of mental workload.
Berthelot, BastienMazoyer, PatrickEgea, SarahAndré, Jean-MarcGrivel, ÉricLegrand, Pierrick
There is emerging demand for multi-ship sensor-based 3D world modeling (3DWM) for autonomy/cognitive decision aiding avionics applications. In these systems, multiple ships collect and transmit perception sensor data that is fused into a common 3DWM, which is then used by other platforms for flight guidance in that environment. This paper illustrates key design considerations for these systems by exploring the fundamental scenario of leader-follower. This paper will detail the design trade space for the leader-follower scenario, focusing on 3DWM database representation/processing and data transmission. To demonstrate the feasibility of a baseline design approach on modern computing hardware, results will be presented from an experimental evaluation of a proof-of-concept system.
Boggs, ChrisTaylor, MaxGavrilets, Vladislav
The U.S. Army's Future Vertical Lift Optimally Crewed Vehicle program is developing and exercising a strategy for determining crewing that facilitates human-machine teaming by supporting human expertise, leveraging sophisticated automation, and facilitating the joint cognitive team. Traditional approaches to function allocation have resulted in systems that capitalize on the strengths of automation but not the strengths of humans, exhibit brittleness during off- nominal events, and underestimate the amount of work necessary to manage automation. The new strategy developed for this program, based on an extensive literature review, incorporates methods from cognitive task analysis, cognitive work analysis, and human performance modeling/simulation into the following five activities: (1) analyzing function allocation tradespace; (2) analyzing operational demands and work requirements; (3) analyzing interdependencies between human and automation; (4) evaluating alternative options with human performance modeling/simulation; (5) identifying and evaluating alternative function allocation and crewing options. The activities are described with excerpts of associated products.
Ernst, KatieRoth, EmilieScheff, ScottKlein, DevorahTaylor, GrantMilitello, LauraSushereba, ChristenDiIulio, JulieWonderly, Scott
Helicopter military missions such as combat search and rescue, medical evacuation and landing on unprepared sites can involve operating in hostile, low-altitude, and degraded visual environments (DVE). These conditions may significantly reduce the pilot's capability to use the natural out of the window (OTW) perceptual cues, increase workload and increase the risk of collision with terrain and natural or man-made obstacles. In modern helicopter cockpits, synthetic vision systems (SVSs) can employ conventional nonconformal two-dimensional (2D), egocentric three-dimensional (3D) conformal symbology (CS) and laser detection and ranging (LADAR)/ radio detection and ranging (RADAR)/ forward looking infrared (FLIR) imagery support guidance and control, especially during operations in DVE. Although 3D CS can decrease pilot workload, it can also produce attentional tunneling (cognitive capture) and may not provide maximally effective depiction of the environment around the helicopter. In this context, it is crucial to develop integrated multimodal interfaces that extend the current operational envelope while enhancing flight safety. Several flight simulator studies have investigated the use of spatial auditory displays (SADs) in combination with spatially and temporally congruent visual displays in tasks as diverse as collision avoidance, intruding aircraft detection, or system malfunction warning. In this paper we propose a novel approach to spatial sonification design based on the premises that perception-based synthetic cueing can increase situation awareness (SA), improve overall performance, and allow mental workload to be kept at operationally effective levels. This paper discusses the development, implementation, and evaluation of a sensor-based augmented-reality spatial auditory display (ARSAD) and its visual analog, an integrated collision avoidance display (ICAD) for all phases of flight. Five UH60M Army pilots participated in a low-level flight simulation evaluating the visual and the auditory displays, alone or in combination in low-visibility and zero visibility environments. The results are discussed in the context of pilot cueing synergies for DVE.
Godfroy-Cooper, MartineWenzel, ElizabethMiller, JoelBachelder, Edward
Driver Workload in an Autonomous Vehicle2019-01-08724/2/2019
As intelligent automated vehicle technologies evolve, there is a greater need to understand and define the role of the human user, whether completely hands-off (L5) or partly hands-on. At all levels of automation, the human occupant may feel anxious or ill-at-ease. This may reflect as higher stress/workload. The study in this paper further refines how perceived workload may be determined based on occupant physiological measures. Because of great variation in individual personalities, age, driving experiences, gender, etc., a generic model applicable to all could not be developed. Rather, individual workload models that used physiological and vehicle measures were developed. Unlike some existing methods of workload estimation where one, or a few signals are used, such as electroencephalography (EEG), electrocardiography (ECG), we developed intelligent systems that use multiple physiological and vehicle signals based on an end-to-end deep neural learning architecture to make a robust estimation of workload. The deep neural learning system, MTS-CNN, is designed to learn workload patterns from synchronized, heterogeneous temporal signals. All data collected for training and testing are from real-world driving trips along the same route which comprised urban local roads and highways. Data from twenty participants whose driving experience ranged from a few months to several years were collected and analyzed. The experimental results indicate that the proposed driver workload estimation model is capable of learning well from the combined temporal physiological and vehicle signals and good performance was obtained on workload estimation.
Murphey, YiKochhar, Dev S.Xie, Yongquan
Cognitive Model of the Internal Combustion Engine2018-01-17389/10/2018
This paper describes research focused upon improved the quality of automobile engine quality. Methods and models were developed for estimating and predicting the technical condition of internal combustion engine (ICE), which provides usage of the decision support making in the search for minimum fuel consumption regimes. We developed models of multi-criterion, multiparametric optimization of energy and material-material characteristics of ICE according to the system approach. The developed methods and models for estimating and predicting the technical state of the functionally interconnected and interacting ICE components are performed taking into account their hierarchy and topologies, energy resource used and the fuel. The cognitive methodology has been used to make engine models researches and analysis. The paper focuses on the fuzzy logic approach applying, considering the indeterminacy, incompleteness and unclear information in the engines operation processes. Cognitive, imitation and fuzzy models for estimating and predicting the technical state of ICE have been developed by the authors of this paper, which allowed to identify ICE’s most vulnerable components, set weight values, influence on fuel consumption according to the quantitative and qualitative energy interchange between ICE components. The received results provide quality enlargement of the ICE operation and their functional components, based on the developed estimation and prediction methods of their technical condition. The paper describes results the cross-platform software application which was implemented using the high-level Java programming language and XML markup language. Developed software allows us to provide user’s flexible interaction process with the module of the decision support system, which is based on implementation of the developed methods and models for the ICE technical condition estimating and predicting. Usage of the developed software helped to obtain optimization results of the energy and material characteristics of the explored ICE, which allows us to find several Pareto-optimal solutions for quality criteria that affect fuel consumption for each single model. This has led to a reduction of components wear, which leads to reducing fuel consumption during ICE operation.
Vychuzhanin, VladimirRudnichenko, NickolayShybaiev, DenysGritsuk, IgorBoyko, VictorShybaieva, NataliaGolovan, AndriiZaharchuk, VictorRabinovich, ErnestSavchuk, VolodymyrZenkin E.Y., Evgeny
ABSTRACT Shipboard-landing maneuvers in rotorcraft piloting involve a number of unique challenges. Such maneuvers can be cognitively demanding even for experienced rotorcraft pilots. To minimize risk, these maneuvers are conducted within well-defined boundaries related to weather and visibility. In order to expand this envelope, technological aids are being proposed to augment decision making capabilities and reduce pilot workload without compromising safety. Our paper reports a cognitive task analysis, which involved interviews with four rotorcraft pilots, who were experienced in shipboard-landing maneuvers. Our results reveal points of high cognitive load, where expertise plays a critical role. We have articulated our understanding on why pilots are faced with difficulties during these critical points, which led us towards design recommendations and system requirements for technological aids. We have also identified a number of system limitations and quantities of interest, which may be useful in defining safety thresholds.
Minotra, DevFeigh, Karen
ABSTRACT Low-level flight missions can be complex, at times requiring any or all of the following: maneuvering and navigating over challenging terrain, scanning for hostile or friendly units, operation in degraded visibility, radio communications, and decision-making in uncertain and dynamics environments. These conditions, and time, will affect mental workload (MWL) and performance. While direct performance measurements are normally available, information on pilot workload must either be obtained through (intrusive) subjective measures directly from the pilot, or inferred using indirect measurements. Performance can affect MWL, and MWL can affect performance - as the pilot generally perceives and responds to task performance through display interfaces, these displays can be used to manage and balance the tradeoff between MWL and performance. This paper presents the work of a collaborative project between US and Israel whose objectives are to develop a multimodal integrated cueing environment for near-earth helicopter operations, and to validate measures for assessing pilot workload for real-time and post-mission applications. A first simulation experiment was conducted that examined 1) visual cueing depicting both predicted terrain slope and aircraft height-above-ground, and 2) spatial (3D) auditory cueing for depicting predicted deviation from desired height-above-ground and impending collision with terrain. Collected Measures included altitude error, control rate and Bedford rating. Initial results indicate that synergistic visual and auditory cueing can enhance performance, therefore could be used to reduce pilot workload while sustaining performance. A second simulation experiment was designed to assess MWL and task engagement under different workload levels encountered during a low-level mission that included the following conditions: unlimited vs. degraded visibility, presence or absence of obstacles and/or targets and terrain difficulty. Two local measures of workload were favored over a global measure: (1) oculomotor behavior, including the Index of Cognitive Activity (ICA) and (2) pilot's momentary behavior (micro-performance). Preliminary results show promise for using some of these measures as real-time indicators of pilot workload and engagement. The results of these two experiments will provide a framework for the development and evaluation of future workload-adaptive multimodal display concepts for helicopter operations during low-level flight.
Bachelder, E.Godfroy-Cooper, M.Kahana, A.Rottem-Hovev, M.Miller, J.D.
Gesture-Based Controls for Robots: Overview and Implications for Use by Soldiers17AERP05_065/1/2017
Developing a more effective means to communicate with robotic devices. Army Research Laboratory, Aberdeen Proving Ground, Maryland A future vision of the use of autonomous and intelligent robots in dismounted military operations is for soldiers to interact with robots as teammates, much like soldiers interact with other soldiers. Soldiers will no longer be operators in full control of every movement, as the autonomous intelligent systems will have the capability to act without continual human input. However, soldiers will need to use the information available from, or provided by, the robot. One of the critical needs to achieve this vision is the ability of soldiers and robots to communicate with each other. One way to do that is to use human gestures to instruct and command robots. The use of gestures as a natural means of interacting with devices is a very broad concept that encompasses a range of body movements, including movements of the hands, arms, and legs, facial expressions, eye movements, head movements, and/or 2-dimensional (2-D) swiping gestures against flat surfaces such as touch screens. Gesture-based technology is already in place and commonly used without special instruction required for effective use. A common example of a well-designed gestural command is the use of hands to “wave” to activate devices (e.g., public bathroom faucet). This concept is also common to gaming interfaces and is now extending to other private and public domains such as automobile consoles.
3D Auditory Displays for Parking Assistance Systems2017-01-96274/11/2017
The objective of this study was to investigate if 3D auditory displays could be used to enhance parking assistance systems (PAS). Objective measurements and estimations of workload were used to assess the benefits of different 3D auditory displays. In today’s cars, PAS normally use a visual display together with simple sound signals to inform drivers of obstacles in close proximity. These systems rely heavily on the visual display, as the sound does not provide information about obstacles' location. This may cause the driver to lose focus on the surroundings and reduce situational awareness. Two user studies (during summer and winter) were conducted to compare three different systems. The baseline system corresponded to a system normally found in today’s cars. The other systems were designed with a 3D auditory display, conveying information of where obstacles were located through sound. A visual display was also available. Both normal parking and parallel parking was conducted. Time taken for parking and the number of obstacles/curb hits were recorded. Participants answered a NASA TLX questionnaire after evaluating each PAS for estimation of their experienced workload. Most participants enjoyed the additional information provided by the 3D auditory displays. The winter trial showed a significant reduction in perceived effort when using a 3D auditory display compared to the baseline. The summer trial showed tendencies of higher mental demand and frustration with the baseline compared to the 3D auditory displays. The results suggest that 3D auditory displays can be appreciated and useful in difficult parking situations.
Lundkvist, AndréJohnsson, RogerNykänen, ArneStridfelt, Jakob
Relationship Between Driver Eyes-Off-Road Interval and Hazard Detection Performance Under Automated Driving2016-01-14244/5/2016
Partially automated driving involves the relinquishment of longitudinal and/or latitudinal control to the vehicle. Partially automated systems, however, are fallible and require driver oversight to avoid all road hazards. Researchers have expressed concern that automation promotes extended eyes-off-road (EOR) behavior that may lead to a loss of situational awareness (SA), degrading a driver’s ability to detect hazards and make necessary overrides. A potential countermeasure to visual inattention is the orientation of the driver’s glances towards potential hazards via cuing. This method is based on the assumption that drivers are able to rapidly identify hazards once their attention is drawn to the area of interest regardless of preceding EOR duration. This work examined this assumption in a simulated automated driving context by projecting hazardous and nonhazardous road scenes to a participant while sitting in a stationary vehicle. Participants engaged in visual-based secondary tasks of various lengths before being exposed to either a hazardous or nonhazardous road scene. Drivers were asked to press a hand-held button as soon as a hazard was detected. Results showed that EOR duration did not influence detection rates or reaction time to imminent hazards. These findings suggest that imminent forward hazards in drivers’ field of view automatically capture drivers’ attention in a manner that does not involve “higher-level” SA processes. Effectiveness of forward cuing in avoiding imminent hazards in a partially automated driving context is not moderated by prior EOR duration.
Glaser, Yi G.Llaneras, Robert E.Glaser, Daniel S.Green, Charles A.
Improving Subjective Assessment of Vehicle Dynamics Evaluations by means of Computer-Tablets as Digital Aid2016-01-16294/5/2016
Vehicle dynamics development relies on subjective assessments (SA), which is a resource-intensive procedure requiring both expert drivers and vehicles. Furthermore, development projects becoming shorter and more complex, and increasing demands on quality require higher efficiency. Most research in this area has focused on moving from physical to virtual testing. However, SA remains the central method. Less attention has been given to provide better tools for the SA process itself. One promising approach is to introduce computer-tablets to aid data collection, which has proven to be useful in medical studies. Simple software solutions can eliminate the need to transcribe data and generate more flexible and better maintainable questionnaires. Tablets’ technical features envision promising enhancements of SA, which also enable better correlations to objective metrics, a requirement to improve CAE evaluations. However, it cannot be assumed that a tablet-based solution is feasible in vehicle dynamics SA context. Any distraction might result in low SA quality and safety issues when test-drivers are subjected to high mental workload pushing the vehicles to their performance-limits. In this study, a SA tablet-software for steering feel, handling, and ride was developed and systematically evaluated versus the traditional pen-and-paper method. The results indicate that the new approach is technically feasible in this context, meets more use-cases, and the drivers’ attitude towards it is positive. It increased questionnaire completion and rating resolution while reducing the error rate and transcription time. Although attendees reported that the paper-based approach has advantages from a usability point of view, the benefits of the tablet-based approach enable further process-related advantages.
Gil Gómez, Gaspar LuisVestlund, JohannesBakker, EgbertBerger, ChristianNybacka, MikaelDrugge, Lars
A Study on Car Following and Cognitive Ability of Elderly Drivers by Using Driving Simulator2016-01-17373/27/2016
The world is aging rapidly. Many countries can already be categorized as aging or aged societies while a few are becoming super-aged societies. In Thailand as well as in other countries, traffic accidents caused by elderly drivers will continue to rise as a significant percentage of elderly people still prefer to drive. Accidents may be prevented with driving tests and screening methods for elderly drivers. However, it is also necessary to understand the effect of aging on driving ability. With this understanding, driver training, driver assistant systems, and improvements on infrastructure may be designed accordingly. Among various physical changes, cognitive ability of the brain is one of the most significant factors affecting driving ability. In this paper, correlation between various cognitive functions of the brain and car following skill of drivers are considered. Car following skill was chosen because rear-end collisions are some of the most frequent type of accidents in Thailand. Car following skill can be measured objectively by using time headway. Furthermore, car following experiments can be studied reproducibly and safely on a driving simulator. Correlations of car following measurements and various cognitive functions measured with CANTAB software were calculated. It was found that Visuoconstructional-perceptual ability, Executive function, and Complex attention have moderate correlation with the time headway, especially at higher speed.
Ngernsukphaiboon, ThitsadeeChantranuwathana, SunhaposNoomwongs, NuksitSripakagorn, AngkeeHemrungrojn MD, Solaphat
Risk-Adaptive Engine for Secure ADS-B Broadcasts2015-01-25209/15/2015
Automatic Dependent Surveillance Broadcast (ADS-B) [1] is a technology that can be viewed either as a complement or as an alternative to current radar-based surveillance techniques. Despite its many benefits, this technology suffers from the security flaw of having its messages sent as clear text broadcasts, which makes it vulnerable to several kinds of attacks affecting the authenticity and integrity of ADS-b messages - a problem we addressed with a security framework presented in previous work [2]. In this paper, we propose to enhance that initial work by using keyed-hash message authentication code [3] (HMAC) to ensure the authenticity and integrity of ADS-B messages. The proposed improvements include changing the structure of the security-related data and, more importantly, adding a cognitive risk adaptive module. These improvements resulted in four main contributions. First, the new structure of the security-related data is more resilient to messages being lost or scrambled. Second, the risk-adaptive cognitive engine facilitates the physical risk assessment of the ADS-B attacks, based on the collected data describing the aircraft and its surrounding environment. Third, air traffic controllers using the framework have better support for optimizing the use of the air space and minimizing disruptions. Fourth, the framework improves adaptability of ATC surveillance operations by leveraging the collected physical data from the aircraft.
Kacem, ThabetCarvalho, JeronymoWijesekera, DumindaCosta, PauloMonteiro, MárcioBarreto, Alexandre
Human Factors Drivers Behind Next Generation AV2020 Cockpit Display2015-01-25379/15/2015
The efficiency of the glass cockpit paradigm has faded away with the densification of the aeronautical environment. Today's problem lies with “non-defective aircraft” monitored by “perfectly trained crews” still involved in fatal accidents. One explanation is, at crew level, that we have reached a system complexity that, while acceptable in normal conditions, is hardly compatible with human cognitive abilities in degraded conditions. The current mitigation of such risk still relies on the enforcement through intensive training of an ability to manage extremely rare (off-normal) situations. These are explained by the potential combination of failures of highly complex systems with variable environment & with variable humans. Looking back into the limits and strengths of operators, we have selected very basic knowledge on human cognitive strategies that enabled us to revisit and review our design principles to give back to pilots the ability to stay in the loop: not through the management of more & more complex systems, but by helping them doing what they do best, manage their own resources to make adequate decisions. Basic ground rules regarding human factors are recalled as key references to designers and planners. The paradigm of cognitive resources management is presented as a frame for HMI design. Cognitive strategies that are “naturally” followed by operators to spare their resources are systematically facilitated in AV2020's HMI. A form of “ecological” design is followed, preserving crew cognitive resources and favoring pilots' core abilities: i.e. decision making and application of airmanship.
Hourlier, Sylvain
ABSTRACT Safety is important in the daily operations of any business, but in the aviation industry, it is paramount. Because each mission, whether critical or routine, relies so heavily on a safe flight environment, pilot and maintenance training must meet the highest educational standards available. To accomplish this, aviation training facilities have to find instructional methods that mimic, as closely as possible, actual flight and maintenance conditions. For practical training, actual aircraft are used for flight and maintenance instruction. For simulated practical training, full-flight simulators and high fidelity flight training devices (FTDs) are used. These methods, while highly effective, are also costly. Time and availability for such flight and simulator devices is also an issue. To train students in a cost-effective, timely manner, aviation industries demand a classroom-based solution. This paper explores a new approach to enhancing training effectiveness through education technology that increases student engagement and retention in the classroom. By using a 3D interactive software engine to build near photo-realistic aircraft system models, the classroom training experience is greatly enhanced, allowing students to learn theory-based aircraft information in a virtual environment. An engaged student learns the material and retains it at a higher cognitive level. This retention leads to safer, more professionally trained pilots and maintainers.
Vasey, ClydeFialho, ZekielGralish, MikeWormington, Larry
ZONE (Zeroing Out Negative Effects) is a method of biofeedback training for optimal athletic performance. ZONE is designed to improve athletes’ responses to stress, anxiety, and loss of concentration during competition. In the training environment, when the user successfully attains an optimal target state of psychophysiological functioning, the technology informs and/or rewards the user through real-time physical changes in the athletic equipment. For example, in the training setting, a golfer can work toward optimal concentration in the act of putting, leading to improved performance in real situations.
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