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In order for an earable to function, it is necessary for the sensor electrodes within the ear to remain in constant contact with the skin. However, body movements tend to disrupt the extent of contact, leading to noisy signals being captured, which are ...

The promise of Brain-Computer Interfaces (BCIs) is counterbalanced by concerns about vulnerabilities. Recent studies have revealed that EEG-based BCIs are susceptible to security breaches. However, current attack approaches are challenging to execute in ...

The present notion of visual similarity is based on features derived from image contents. This ignores the users' emotional or affective experiences toward the content, and how users feel when they search for images. Here we consider valence, a positive ...

Neurophysiological laboratory studies are often constraint to immediate geographical surroundings and access to equipment may be temporally restricted. Limitations of ecological validity, scalability, and generalizability of findings pose a significant ...

Children with Attention Deficit (Hyperactivity) Disorder or AD(H)D can require treatment for which they need to experience long-lasting neurofeedback sessions. Children might not adhere to at-home treatment activities because of the nature of these ...

Brain Computer Interfaces (BCIs) are interfaces that put the user in communication with an electronic device through the brain activity produced by the user herself. Non-invasive BCI are mainly based on electroencephalographic (EEG) signals. While using ...

In the overlap between Human-Computer Interaction (HCI) and Cinematics, sits an interest in physiological responses to experiences. Focusing particularly on brain data, Neurocinematics has emerged as a research field using Brain-Computer Interface (BCI) ...

We present an interactive Virtual Reality (VR) experience that uses biometric information for reflection and relaxation. We monitor in real-time brain activity using a modified version of the Muse EEG and track heart rate (HR) and electro dermal ...

Introducing interactivity to films has proven a longstanding and difficult challenge due to their narrative-driven, linear and theatre-based nature. Previous research has suggested that Brain-Computer Interfaces (BCI) may be a promising approach but ...

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 ...

Well-designed notifications can successfully inform users of various devices and systems about their status; however, poorly designed ones can lead to negative user experiences. In this study, we conducted electroencephalography and behavioral ...

While many still consider interactive movies an unrealistic idea, current delivery platforms like Netflix, commercial VR, and the proliferation of wearable sensors mean that adaptive and responsive entertainment experiences are an immediate reality. Our ...

This study presents a Brain-Computer Interface (BCI) based remotepresence system for humanoid NAO robot. The system would beuseful for partially or fully paralyzed patients to interact with peo-ple and live active social life. A P300 based BCI is used ...

This study takes advantage of Error Related Potentials, a certain type of neurophysiological event associated with humans' ability to observe and recognize erroneous actions, in order to improve SSVEP-based Brain Computer Interfaces (BCIs). The Error ...

Teegi is an anthropomorphic and tangible avatar exposing a users' brain activity in real time. It is connected to a device sensing the brain by means of electroencephalography (EEG). Teegi moves its hands and feet and closes its eyes along with the ...

BCIs are presumably supposed to require the full attention of their users and to lose accuracy if they pay attention to another task. This assertion has been verified with several BCI paradigms (e.g. P300). But the cognitive demand of the promising ...

Obtaining information about audience engagement in presentations is a valuable asset for presenters in many domains. Prior literature mostly utilized explicit methods of collecting feedback which induce distractions, add workload on audience and do not ...

We present a study where human neurophysiological signals are used as implicit feedback to alter the behavior of a deep learning based autonomous driving agent in a simulated virtual environment.

Graphic icons play an increasingly important role in interface design due to the proliferation of digital devices in recent years. Their ability to express information in a universal fashion allows us to immediately interact with new applications, ...

In this paper we present #Scanners, a digital arts installation that aims to bridge the gap between digital arts and neuroscience. #Scanners is an experience in which an individual wears a wireless brain scanners whilst being presented media which is ...