BCIs in multimodal interaction and multitask environments: Theoretical issues and initial guidelines

The development of Brain Computer Interfaces (BCIs) enters a phase in which these devices are no longer restricted to applications in controlled, single-task environments. For instance, BCIs for gaming or high-end operator stations will function as part of a multimodal user interface in a multitask environment. This phase introduces new issues...

Facial temperature data Sing-a-Song StressTest

We here introduce a new experimental paradigm to induce mental stress in a quick and easy way while adhering to ethical standards and controlling for potential confounds resulting from sensory input, body movements and behavior of people involved in conducting the experiment. In our Sing-a-Song Stress Test, participants are presented with...

Gaze-independent ERP-BCIs: Augmenting performance through location-congruent bimodal stimuli

Gaze-independent event-related potential (ERP) based brain-computer interfaces (BCIs) yield relatively low BCI performance and traditionally employ unimodal stimuli. Bimodal ERP-BCIs may increase BCI performance due to multisensory integration or summation in the brain. An additional advantage of bimodal BCIs may be that the user can choose...

Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future

Effect of beta and gamma neurofeedback on memory and intelligence in the elderly

Recent research showed a correlation between cognitive decline and a decrease of EEG gamma activity. In the present double-blind randomized control study, we investigated whether gamma and beta neurofeedback protocols, that have been shown to modulate performance on cognitive control and memory in young adults, also leads to increased brain...

Using neurophysiological signals that reflect cognitive or affective state: Six recommendations to avoid common pitfalls

Estimating cognitive or affective state from neurophysiological signals and designing applications that make use of this information requires expertise in many disciplines such as neurophysiology, machine learning, experimental psychology, and human factors. This makes it difficult to perform research that is strong in all its aspects as well as...

Effects of personal characteristics on susceptibility to decision bias: A literature study

Cognitive biases and heuristics are pervasive simplifications and distortions in judgement and reasoning that systematically affect human decision making. Knowledge in this area may enable us to foresee and reduce detrimental effects of biases or to influence others more effectively. We therefore performed a literature study to assess the...