Theory of barrier crossing

A model for cooperation between humans and intelligent systems

The applicabillity of an adaptive human-machine interface in the cockpit

Lean-safe operations for the aviation industry

Visual discomfort in stereoscopic dsplays: A review

Visual discomfort has been the subject of considerable research in relation to stereoscopic and autostereoscopic displays, but remains an ambiguous concept used to denote a variety of subjective symptoms potentially related to different underlying processes. In this paper we clarify the importance of various causes and aspects of visual comfort....

A seven-factor procedural analysis of safety culture Known measurement - a case study at KLM E&M

Everscape: The Making of a Disaster Evacuation Experience

Disaster evacuation studies are important but difficult or impossible to conduct in the real world. Evacuation simulation in a virtual world can be an important tool to obtain data on the escape and choice behavior of people. However, to obtain accurate “realistic” data, the engagement of participants is a key challenge. Therefore, we describe...

Human factors in layers of defense in airport security

Airport security systems are built up out of layers of defence based on the security-in-depth model (Talbot & Jakeman, 2008). The Transport Safety Authority (TSA) in the United States defined a staggering 20 layers of defence to control security risks. This means that not only security personnel is responsible for security at the airport but...

Wie begrijpt de GRIP? Human factors aspecten bij het ontwerp van verkeersmanagementmaatregelen

Er komen steeds meer verkeersmanagementmaatregelen op en langs de weg, en in het voertuig, en deze maatregelen worden steeds dynamischer. De weggebruiker krijgt daarmee nogal wat informatie te verstouwen. Deze bijdrage behandelt hoe bij het ontwerp van verkeersmanagementmaatregelen, rekening gehouden kan worden met de cognitiefpsychologische...

Human factors of automated driving: Towards predicting the effects of authority transitions on traffic flow efficiency

Human Factors of Automated Driving: Predicting the Effects of Authority Transitions on Traffic Flow Efficiency

Automated driving potentially has a significant impact on traffic flow efficiency. Automated vehicles, which possess cooperative capabilities, are expected to reduce congestion levels for instance by increasing road capacity, by anticipating traffic conditions further downstream and also by accelerating the clearance of congestion. However, the...

A conceptual model to explain, predict, and improve user acceptance of driverless 4P vehicles

This paper represents a synthesis of existing empirical acceptance studies on automated driving and scientific literature on technology acceptance. The objective of this paper is to study user acceptance of driverless vehicles that fall into SAE level 4, as they operate within the constraints of dedicated infrastructure. The review indicates...

Promoting Physical Wellbeing in the Workplace: Providing Working Adults with a Tool to Reduce their Sedentary Behavior

Whether it is from the office-office or the home office, creating a physical work environment is essential for both improving work performance as well as for the physical and mental wellbeing of employees. But as jobs are becoming increasingly less active, and working adults are spending almost a third of their lives in the office, most of their...

Alert Alchemy: SOC Workflows and Decisions in the Management of NIDS Rules

Signature-based network intrusion detection systems (NIDSs) and network intrusion prevention systems (NIPSs) remain at the heart of network defense, along with the rules that enable them to detect threats. These rules allow Security Operation Centers (SOCs) to properly defend a network, yet we know almost nothing about how rules are created,...

“☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms

Fairness toolkits are developed to support machine learning (ML) practitioners in using algorithmic fairness metrics and mitigation methods. Past studies have investigated practical challenges for toolkit usage, which are crucial to understanding how to support practitioners. However, the extent to which fairness toolkits impact practitioners’...