It is our great pleasure to welcome you to the first Brain-Computer Interfaces workshop held as a part of the annual meetings of the Intelligent User Interfaces community.
In principle, brain-computer interfaces (BCIs) hold the promise for being the ultimate intelligent interfaces; what could surpass an interface that is able to interpret your thoughts and preferences, in real time, and behave accordingly? In practice, it is still not quite clear how BCIs can contribute to or replace existing interaction paradigms. The last 10-15 years BCI research focused on providing patients who lost their ability to communicate through the usual channels (speech) with ways of communication that are directly based on brain signals. While a lot of progress has been made, we suggest that it is also fruitful to view BCI as a means to obtain information from (healthy) individuals who go about their usual routines, where this information would otherwise have been lost. With this, it is important to understand BCI in the contexts of human natural behavior, of limitations in BCI accuracy, and of the envisioned application.
For our workshop 'BCIforReal: An application-oriented approach to BCI out of the laboratory', we have received twelve submissions. After having received at least two reviews, eight of them were accepted as proceeding papers. The papers cover several application areas (driving, head mounted display imaging, text annotation and neurofeedback), as well as going into methodological issues and into ways of bringing BCI(-like) applications in contact with a larger audience. Several authors point out the potential of fusing multiple sources of (physiological) information in conjunction with brain signals.
Besides the presenters of the eight papers, we are happy to have several additional speakers.
It is an honor to have Prof. Dr. Benjamin Blankertz from the Technical University of Berlin as a keynote speaker to kick-off the workshop. His talk is entitled 'Applications of BCI Technology Beyond Communication And Control'.
Furthermore, Dr. Chris McClernon, International Program Officer at the Air Force Research Laboratory's European Office of Aerospace Research and Development, will give a talk on the goals of his prospective neuro-ergonomics program, which we expect to be of great interest to the participants of the workshop.
The workshop will be closed with brainstorm activities and discussions in order to give the participants the opportunity to discuss their questions, concerns, share ideas, obtain feedback, generate new ideas and initiate collaborations.
Proceeding Downloads
A New Experimental Paradigm for Affective Research in Neuro-adaptive Technologies
One core challenge in the field of neuro-adaptive technology is the detection of the current mental user state. Existing experimental paradigms use established stimulus material (e.g. pictures) to induce affective user states and make them measurable. ...
BCI for Physiological Text Annotation
- Oswald Barral,
- Ilkka Kosunen,
- Tuukka Ruotsalo,
- Michiel M. Spapé,
- Manuel J.A. Eugster,
- Niklas Ravaja,
- Samuel Kaski,
- Giulio Jacucci
Automatic annotation of media content has become a critically important task for many digital services as the quantity of available online media content has grown exponentially. One approach is to annotate the content using the physiological responses ...
Physiological Effects of Adaptive Cruise Control Behaviour in Real Driving
We examined physiological responses to behavior of an Adaptive Cruise Control (ACC) system during real driving. ACC is an example of automating a task that used to be performed by the user. In order to preserve the link between the user and an automated ...
The BrainHack Project: Exploring Art - BCI Hackathons
- Aleksander Valjamae,
- Lucas Evers,
- Brendan Z. Allison,
- Jurre Ongering,
- Angela Riccio,
- Irene Igardi,
- David Lamas
The main goal of the BrainHack project is to engage the international artistic community experimenting with Brain Neural Computer Interaction (BNCI) technologies and link it to the BNCI scientific community. BrainHack explores hackathons format to ...
Real World BCI: Cross-Domain Learning and Practical Applications
In order to develop real-world BCI solutions machine learning models must generalize not only to unseen users but also to unseen scenarios. In this concept paper we describe our initial investigation into Deep Learning tools to create generalized models ...
Neuroadaptive Meditation in the Real World
Meditation and mindfulness techniques are useful for both treatment of various disorders as well as improving the quality of life in general. Meditation offers intriguing possibilities for BCI as it is targeted at able-bodied general population and goes ...
A Feasible BCI in Real Life: Using Predicted Head Rotation to Improve HMD Imaging
While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the ...
The Expectation Based Eye-Brain-Computer Interface: An Attempt of Online Test
- Yuri O. Nuzhdin,
- Sergei L. Shishkin,
- Anastasia A. Fedorova,
- Alexander G. Trofimov,
- Evgeny P. Svirin,
- Bogdan L. Kozyrskiy,
- Alexei A. Medyntsev,
- Ignat A. Dubynin,
- Boris M. Velichkovsky
In this preliminary study we tested online a new Eye-Brain-Computer Interface (EBCI) for selection of positions on a screen with a combination of gaze based control and a passive brain-computer interface (BCI). This hybrid BCI was trained offline to ...
Index Terms
- Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
BCIforReal '17 | 12 | 8 | 67% |
Overall | 12 | 8 | 67% |