Dans le milieu aéronautique professionnel (un des secteurs professionnels les plus sûr au monde), la gestion des conséquences des erreurs humaines doit être améliorée pour garantir une sécurité maximum. Pour ce faire, il est nécessaire de mettre en place des techniques de conception centrées sur l’utilisateur. Cependant, la mise en place de ces techniques est rendue difficile par les particularités des systèmes sociotechniques complexes (la certification, la complexité des systèmes conçus, le nombre de personnes impliquées…). Notre étude a pour but de développer et de valider des outils d’aide à la conception centrée sur l’utilisateur, notamment pour le traitement automatique de grande quantité de données. Pour ce faire, nous avons, dans un premier temps, réalisé une étude basée sur le jugement d’expert visant à identifier, dans une base de données, des scenarii susceptibles de contenir une erreur de l’équipage. Les résultats de cette méthode par jugement d’expert ont été comparés à ceux obtenus à l’aide d’outils de traitement automatique. Cette comparaison a permis :1/ D’identifier des algorithmes pertinents pour l’extraction d’information dans des bases de données (algorithme des plus proches voisins et de filtrage bayesien) ;2/ De proposer une méthodologie permettant l’extraction automatique de situations à risque pouvant donner lieu à des études plus approfondies, sur simulateur par exemple. Cette étape est primordiale dans cadre de la conception centrée utilisateur.Les liens établis avec les études des incidents/accidents laissent envisager des impacts positifs sur la sécurité aérienne. / In the professional aeronautical field (one of the safest in the world), human error management must be improved to reach a better safety level. To do this, a user centred design process has to be implemented. However, due to the complexity of socio technical systems, the implementation of an efficient user centred design process could be challenging. To ease this process, our study aims to develop and validate specific tools, particularly for processing large amounts of textual data. In our study, we will firstly undertake an extraction of scenarios that can contain human errors in a specific database. This extraction will be based on expert judgment (control condition). Secondly, we will confront the control condition with results obtained automatically. The results of this comparison allow:1/ The identification of relevant algorithms for automatic information extraction within large textual databases (Nearest Neighbour, Bayesian filtering);2/ The identification of a methodology to extract risk situations that could be included in specific studies. This step is very important for the user centred design process.Links that we have established between our results and incident/accident studies allow us to consider positive impacts on aviation safety.

In my Master´s thesis I am concerned with the questions of the human factor in air traffic control. The work is mainly focused on the air traffic controller and discusses the influences that directly or indirectly affect the air traffic controller. Considerable attention is paid to the errors that may occur during the management, their analysis and proposals for their elimination, respectively their complete disposal. The main idea is to understand the thinking of the air traffic controller as the human element in an organization and applying theories to reduce the errors in the air traffic control.

This Master´s thesis examines Investigation of aircraft accidents / incidents, which were caused by human error. My thesis is focused on fixed wing aircrafts with maximum take off weight up to 2500 kg. Practices of Aircraft accident / incident Investigation are described in Annex L13 which is document published by Ministry of Transport of the Czech Republic. This document provides some support for investigators but does not contain methodology which should be used to discover human error by which the accident / incident was caused. This thesis has two major purposes. First purpose is to analyze Final reports of investigations and suggest improvements which can be made. Second goal of this thesis is to create own methodology for investigating the causes of aviation accidents / incidents caused by human factor.

This dissertation examines the problems of human error in civil aviation. Its aim is, first and foremost, to evaluate types, origins and frequency of particular mistakes in piloting technique of aeroplanes. The dissertation comprises a study of the commonest human errors as presented by the examples of European airlines. The conclusion of the dissertation details proposals of method and approach on eliminating human error and thus increasing air travel safety.

In my Master´s thesis I am concerned with the questions of the human factor in air traffic control. The work is mainly focused on the air traffic controller and discusses the influences that directly or indirectly affect the air traffic controller. Considerable attention is paid to the errors that may occur during the management, their analysis and proposals for their elimination, respectively their complete disposal. The main idea is to understand the thinking of the air traffic controller as the human element in an organization and applying theories to reduce the errors in the air traffic control.

As the technical progress goes on new ways to improve safe navigation continues to arise. One of these technical possibilities is Augmented Reality (AR) which has already proved its value within the car and flight industry. The purpose of this content analysis was to investigate accidents where human error, the so-called human factor, is behind the accident. This has been done by investigating the underlying factors for collision in over 800 accidents and then categorizing these to get a clearer picture of what leads up to the collision. After analyzing the reports relevant to the study from a scenario where the bridge is equipped with AR technology, the study finds that AR contributes with great benefits for safer navigation, however, some technical work behind the technology is required, which can be costly both financially and in terms of time. The study shows that AR would have been helpful in all collisions that are investigated further, mainly by making the navigator more aware of the surroundings with clearly projected information from the various information sources on the bridge. The study finally formulates the theory that AR can prevent collisions in shipping by making the navigator more aware of potential obstacles to safe navigation. / I samband med teknikens ständiga framstegupp som kan bidra till en säkrare navigation. En av dessa tekniker är Augmented Reality (AR) som redan rönt stor framgång inom såväl bil- som flygindustrin. Syftet med denna studie var att genom en innehållsanalys undersöka haverier under 2010- talet där mänskligt felhandlande, den så kallade mänskliga faktorn, ligger bakom haveriet. Detta har gjorts genom att utreda de bakomliggande faktorerna till kollision i över 800 haverier och kategorisera dessa för att få en tydligare bild över vad som leder fram till haveriet. Efter att ha analyserat de för studien relevanta rapporterna och satt dem i ett scenario där bryggan är utrustad med AR-teknik finner studien att AR skulle ha varit behjälpligt i samtliga fall, då främst genom att göra navigatören mer uppmärksam på omgivningen med tydligt projicerad information från de olika informationskällorna på bryggan. Studien kommer fram till att AR bidrar stora fördelar för en säkrare navigation, dock krävs det en del tekniskt arbete bakom tekniken vilket kan vara kostsamt både ekonomiskt och tidsmässigt. Studien formulerar slutligen teorin att AR kan förebygga kollisioner inom sjöfarten genom att göra navigatören mer uppmärksam på potentiella hinder för säker navigation.

Error related negativity (ERN) is a pronounced negative evoked response potential (ERP) that follows a known error. This neural pattern has the potential to communicate user awareness of incorrect actions within milliseconds. While the implications for human-machine interface and augmented cognition are exciting, the ERN has historically been evoked only in the laboratory using complex equipment while presenting simple visual stimuli such as letters and symbols. To effectively harness the applied potential of the ERN, detection must be accomplished in complex environments using simple, preferably single-electrode, EEG systems feasible for integration into field and workplace-ready equipment. The present project attempted to use static photographs to evoke and successfully detect the ERN in a complex visual search task: motorcycle conspicuity. Drivers regularly fail to see motorcycles, with tragic results. To reproduce the issue in the lab, static pictures of traffic were presented, either including or not including motorcycles. A standard flanker letter task replicated from a classic ERN study (Gehring et al., 1993) was run alongside, with both studies requiring a binary response. Results showed that the ERN could be clearly detected in both tasks, even when limiting data to a single electrode in the absence of artifact correction. These results support the feasibility of applied ERN detection in complex visual search in static images. Implications and opportunities will be discussed, limitations of the study explained, and future directions explored.

M. Tech. (Department of Information Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / Information and Communication Technology (ICT) has become prevalent in our everyday business and personal lives. As such, users and organisations must know how to protect themselves against human errors that led to more companies losing or sharing information that should not be shared. The issue emanates from lack of ICT security culture both in individuals and organisations. This research is based on a wide theoretical review that is focused on proposing a conceptual model on technological, environmental and organisational factors that influence the adoption of ICT security culture and implementation in Small Medium and Micro Enterprises (SMMEs). Factors or determinants that influence the adoption of ICT security culture in SMMEs in the Gauteng province were investigated. Questionnaires were distributed to examine the perception of ICT security culture adoption among SMMEs in the Gauteng province South Africa. A sample of 647 individuals from different SMMEs in the Gauteng province returned the questionnaire. The results of the research study show that technological context (perceived benefits), environmental context (government regulations) and organisational context (management support) determinants have direct influence on the ICT security culture adoption. The recommendation is that information security awareness programmes must be put in place. Further research is recommended using more determinants that might have a positive impact toward the adoption of the ICT security culture. In order to minimize data breaches due to human error it is recommended that SMMEs around Gauteng Province in South Africa adopt the framework as outlined in this research study.

<p>  </p> <p>Human error is one of the most prominent challenges facing cybersecurity today. Attackers manipulate people's natural inclination to make mistakes using social engineering tactics to exploit psychological vulnerabilities, gain trust, and access sensitive information. Trust plays a critical role in human interaction, both in the physical and digital realms, making it an attractive target for attackers. However, cultural backgrounds, which reflect individual and societal beliefs and values, are often overlooked in cybersecurity risk assessments, despite significantly influencing human behavior. This study was conducted to investigate the relationship between trust and cybersecurity risks across diverse cultural groups. The study's findings could provide valuable insights into addressing and preventing human-related vulnerabilities by enhancing overall cybersecurity measures and examining cross-cultural differences in human behavior and their impact on cybersecurity risks. As human factors in cybersecurity become increasingly crucial, this study was performed to understand the differences in risky cybersecurity behaviors among various cultural groups and investigate the impact of different perceptions of trust on engaging in risky behaviors. The outcome of this research provides insights into the critical role cultural backgrounds play in shaping human behavior in the context of cybersecurity. The results of this study may have significant implications for enhancing overall cybersecurity measures by identifying and addressing human-related vulnerabilities that may be unique to specific cultural groups.</p>

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