Background

Recent research efforts in brain-computer interfaces (BCI) show that brain activity can be used as an active/voluntary, or passive/involuntary control modality in man-machine interaction. While active BCI paradigms received a lot of attention in recent years, research on passive approaches to BCI is still lacking concerted activity.

However, it has been shown more than once that brain activations can carry information about the affective and cognitive state of a subject, and that the interaction between humans and machines can be aided by the recognition of those user states.

To achieve robust passive BCIs, efforts from applied and basic sciences have to be combined. On the one hand, applied fields such as affective computing aim at the development of applications that adapt to changes in the user states and thereby enrich the interaction, leading to a more natural and effective usability. On the other hand, basic research in neuroscience advances our understanding of the neural processes associated with emotions. Furthermore, similar advancements are being made for more cognitive mental states, for example attention, fatigue, and work load, which strongly interact with affective states.

We encourage submissions exploring one or more of the following topics:

• emotion elicitation and data collection for affective BCI
• detection of affective and cognitive states with BCI and other modalities
• adaptive interfaces and affective BCI, affective BCI applications
• embedding affective BCI in active and passive BCI approaches

(Revised) Time Schedule

• February  15 : Deadline for  Abstracts
• February   18 : Invitation for Full Paper Submission
• March 20:   Full Paper Deadline

Paper submissions

Potential authors should first submit a title and a one-page abstract. Please submit them in PDF format to anijholt@cs.utwente.nl. Final papers should be at most  20 pages long and in the format of the IJAACS Journal (see here).