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Rapid Serial Visual Presentation (RSVP) improves the reading speed for optimizing the user's information processing capabilities on Virtual Reality (VR) devices. Yet, the user's RSVP reading performance changes over time while the reading speed remains ...

Objective: Through interaction between the Teslasuit and XPlane 11, we evaluate the impact of full-body positional haptic feedback during low-visibility aviation ground operations. This paper presents a working pipeline for Teslasuit-based flight ...

Manipulating MW in driving simulator studies without the need to introduce a non-driving-related task remains challenging. This study aims to empirically evaluate the modified speed regulation n-back task, a tool to manipulate drivers’ MW. Our ...

The automated classification of a participant’s mental workload based on electroencephalographic (EEG) data is a challenging problem. Recently, network-based approaches have been introduced for this purpose. We seek to build on this work by ...

Physiological monitoring of the operator’s current state has gained much attention in aviation research, especially for the development of adaptive assistance systems. In order to tailor the assistance to the human operator’s current needs, these ...

As the proportion of the aging population increases year by year, Taiwan is about to become a super-aging society. Among multiple problems faced by the elderly, dementia is an important but easy-to-be-neglected challenge, for which, at pre-sent, ...

Differential dermal potentials is a non-invasive bio-potential signal acquired from the skin surface is a relatively new mode for human activity and behavior monitoring. Literature suggests acquiring differential dermal potentials from either hand or leg,...

A new frontier in human-centered AI is the development of systems that can understand the mental effort of their users in order to better support them in their day-to-day lives. Current solutions rely on specialized sensors to gain insight into a person’...

With rapid growth in the development of consumer neurotechnology, it is imperative to consider the ethical implications that this might have in order to minimise consumer harm. Whilst ethical and legal guidelines for commercialisation have previously ...

The fourth industrial revolution introduced a new paradigm in manufacturing systems. The digital network is at the basis of the smart manufacturing and the physical context is strictly related to the artificial intelligence. This new manufacturing ...

The use of robotic surgical systems disrupts existing team dynamics inside operating rooms and constitutes a major challenge for the development of crucial non-technical skills such as situation awareness (SA). Techniques for assessing SA mostly rely on ...

The usability of the human-machine interface is dependent on the quality of its design and testing. Defining clear criteria that the interface must meet can assist the implementation and evaluation process. These criteria may be based on performance, ...

Mental workload represents the mental resources an individual devotes to a task. In a building environment, understanding how ambient thermal conditions affect occupants' mental workload offers an opportunity to achieve optimal thermal settings for the ...

To research the influence of the secondary task on driving performance at different speed, the driving simulation experiment of four specified speed conditions and four secondary task conditions was designed. The mental workload of 16 driving conditions ...

Production lines are increasingly defined by smaller lot sizes that require workers to memorize frequent changes of assembly instructions. Previous research reports positive results of using assistive systems that compensate increments of workload by ...

Ground Control Stations (GCS) are essential tools to monitor and command real-world complex missions involving Unmanned Vehicles (UVs). As the number and types of UVs in the mission grows, implementing a robust and adaptable GCS, capable of simplifying ...

A Ground Control Station (GCS) is an essential element to supervise and control autonomous vehicles performing complex missions in real time. In the new era of Internet of Things, where systems are highly connected, these missions demand enormous ...

A common objective for context-aware computing systems is to predict how user interfaces impact user performance regarding their cognitive capabilities. Existing approaches such as questionnaires or pupil dilation measurements either only allow for ...

Recent work has demonstrated that functional Near-Infrared Spectroscopy has the potential to measure changes in Mental Workload with increasing ecological validity. It is not clear, however, whether these measurements are affected by anxiety and stress ...

Estimating mental workload from brain signals such as Electroencephalography (EEG) has proven very promising in multiple Human-Computer Interaction (HCI) applications, e.g., to design games or educational applications with adaptive difficulty, or to ...